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Atomic force microscopy

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An AFM generates images by scanning a small cantilever over the surface of a sample. The sharp tip on the end of the cantilever contacts the surface, bending the cantilever and changing the amount of laser light reflected into the photodiode. The height of the cantilever is then adjusted to restore the response signal, resulting in the measured cantilever height tracing the surface.

Atomic force microscopy (AFM) or scanning force microscopy (SFM) is a very-high-resolution type of scanning probe microscopy (SPM), with demonstrated resolution on the order of fractions of a nanometer, more than 1000 times better than the optical diffraction limit.

Overview

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An atomic force microscope on the left with controlling computer on the right

Atomic force microscopy[1] (AFM) gathers information by "feeling" or "touching" the surface with a mechanical probe. Piezoelectric elements that facilitate tiny but accurate and precise movements on (electronic) command enable precise scanning. Despite the name, the Atomic Force Microscope does not use the nuclear force.

Abilities and spatial resolution

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Atomic Force Microscope

The AFM has three major abilities: force measurement, topographic imaging, and manipulation.

In force measurement, AFMs can be used to measure the forces between the probe and the sample as a function of their mutual separation. This can be applied to perform force spectroscopy, to measure the mechanical properties of the sample, such as the sample's Young's modulus, a measure of stiffness.

For imaging, the reaction of the probe to the forces that the sample imposes on it can be used to form an image of the three-dimensional shape (topography) of a sample surface at a high resolution. This is achieved by raster scanning the position of the sample with respect to the tip and recording the height of the probe that corresponds to a constant probe-sample interaction (see § Topographic image for more). The surface topography is commonly displayed as a pseudocolor plot.

Although the initial publication about atomic force microscopy by Binnig, Quate and Gerber in 1986 speculated about the possibility of achieving atomic resolution, profound experimental challenges needed to be overcome before atomic resolution of defects and step edges in ambient (liquid) conditions was demonstrated in 1993 by Ohnesorge and Binnig.[2] True atomic resolution of the silicon 7x7 surface had to wait a little longer before it was shown by Giessibl.[3] Subatomic resolution (i.e. the ability to resolve structural details within the electron density of a single atom) has also been achieved by AFM.

In manipulation, the forces between tip and sample can also be used to change the properties of the sample in a controlled way. Examples of this include atomic manipulation, scanning probe lithography and local stimulation of cells.

Simultaneous with the acquisition of topographical images, other properties of the sample can be measured locally and displayed as an image, often with similarly high resolution. Examples of such properties are mechanical properties like stiffness or adhesion strength and electrical properties such as conductivity or surface potential.[4] In fact, the majority of SPM techniques are extensions of AFM that use this modality.[5]

Other microscopy technologies

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The major difference between atomic force microscopy and competing technologies such as optical microscopy and electron microscopy is that AFM does not use lenses or beam irradiation. Therefore, it does not suffer from a limitation in spatial resolution due to diffraction and aberration, and preparing a space for guiding the beam (by creating a vacuum) and staining the sample are not necessary.

There are several types of scanning microscopy including SPM (which includes AFM, scanning tunneling microscopy (STM) and near-field scanning optical microscope (SNOM/NSOM), STED microscopy (STED), and scanning electron microscopy and electrochemical AFM, EC-AFM). Although SNOM and STED use visible, infrared or even terahertz light to illuminate the sample, their resolution is not constrained by the diffraction limit.

Configuration

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Fig. 3 shows an AFM, which typically consists of the following features.[6] Numbers in parentheses correspond to numbered features in Fig. 3. Coordinate directions are defined by the coordinate system (0).

Fig. 3: Typical configuration of an AFM.
(1): Cantilever, (2): Support for cantilever, (3): Piezoelectric element (to oscillate cantilever at its eigen frequency), (4): Tip (Fixed to open end of a cantilever, acts as the probe), (5): Detector of deflection and motion of the cantilever, (6): Sample to be measured by AFM, (7): xyz drive, (moves sample (6) and stage (8) in x, y, and z directions with respect to a tip apex (4)), and (8): Stage.

The small spring-like cantilever (1) is carried by the support (2). Optionally, a piezoelectric element (typically made of a ceramic material) (3) oscillates the cantilever (1). The sharp tip (4) is fixed to the free end of the cantilever (1). The detector (5) records the deflection and motion of the cantilever (1). The sample (6) is mounted on the sample stage (8). An xyz drive (7) permits to displace the sample (6) and the sample stage (8) in x, y, and z directions with respect to the tip apex (4). Although Fig. 3 shows the drive attached to the sample, the drive can also be attached to the tip, or independent drives can be attached to both, since it is the relative displacement of the sample and tip that needs to be controlled. Controllers and plotter are not shown in Fig. 3.

According to the configuration described above, the interaction between tip and sample, which can be an atomic-scale phenomenon, is transduced into changes of the motion of cantilever, which is a macro-scale phenomenon. Several different aspects of the cantilever motion can be used to quantify the interaction between the tip and sample, most commonly the value of the deflection, the amplitude of an imposed oscillation of the cantilever, or the shift in resonance frequency of the cantilever (see section Imaging Modes).

Detector

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The detector (5) of AFM measures the deflection (displacement with respect to the equilibrium position) of the cantilever and converts it into an electrical signal. The intensity of this signal will be proportional to the displacement of the cantilever.

Various methods of detection can be used, e.g. interferometry, optical levers, the piezoelectric method, and STM-based detectors (see section "AFM cantilever deflection measurement").

Image formation

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This section applies specifically to imaging in § Contact mode. For other imaging modes, the process is similar, except that "deflection" should be replaced by the appropriate feedback variable.

When using the AFM to image a sample, the tip is brought into contact with the sample, and the sample is raster scanned along an x–y grid. Most commonly, an electronic feedback loop is employed to keep the probe-sample force constant during scanning. This feedback loop has the cantilever deflection as input, and its output controls the distance along the z axis between the probe support (2 in fig. 3) and the sample support (8 in fig 3). As long as the tip remains in contact with the sample, and the sample is scanned in the x–y plane, height variations in the sample will change the deflection of the cantilever. The feedback then adjusts the height of the probe support so that the deflection is restored to a user-defined value (the setpoint). A properly adjusted feedback loop adjusts the support-sample separation continuously during the scanning motion, such that the deflection remains approximately constant. In this situation, the feedback output equals the sample surface topography to within a small error.

Historically, a different operation method has been used, in which the sample-probe support distance is kept constant and not controlled by a feedback (servo mechanism). In this mode, usually referred to as "constant-height mode", the deflection of the cantilever is recorded as a function of the sample x–y position. As long as the tip is in contact with the sample, the deflection then corresponds to surface topography. This method is now less commonly used because the forces between tip and sample are not controlled, which can lead to forces high enough to damage the tip or the sample.[citation needed] It is, however, common practice to record the deflection even when scanning in constant force mode, with feedback. This reveals the small tracking error of the feedback, and can sometimes reveal features that the feedback was not able to adjust for.

The AFM signals, such as sample height or cantilever deflection, are recorded on a computer during the x–y scan. They are plotted in a pseudocolor image, in which each pixel represents an x–y position on the sample, and the color represents the recorded signal.

Fig. 5: Topographic image forming by AFM.
(1): Tip apex, (2): Sample surface, (3): Z-orbit of Tip apex, (4): Cantilever.

History

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The AFM was invented by IBM scientists in 1985.[7] The precursor to the AFM, the scanning tunneling microscope (STM), was developed by Gerd Binnig and Heinrich Rohrer in the early 1980s at IBM Research – Zurich, a development that earned them the 1986 Nobel Prize for Physics. Binnig invented[6] the atomic force microscope and the first experimental implementation was made by Binnig, Quate and Gerber in 1986.[8]

The first commercially available atomic force microscope was introduced in 1989. The AFM is one of the foremost tools for imaging, measuring, and manipulating matter at the nanoscale.

Applications

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The AFM has been applied to problems in a wide range of disciplines of the natural sciences, including solid-state physics, semiconductor science and technology, molecular engineering, polymer chemistry and physics, surface chemistry, molecular biology, cell biology, and medicine.

Applications in the field of solid state physics include (a) the identification of atoms at a surface, (b) the evaluation of interactions between a specific atom and its neighboring atoms, and (c) the study of changes in physical properties arising from changes in an atomic arrangement through atomic manipulation.

In molecular biology, AFM can be used to study the structure and mechanical properties of protein complexes and assemblies. For example, AFM has been used to image microtubules and measure their stiffness.

In cellular biology, AFM can be used to attempt to distinguish cancer cells and normal cells based on a hardness of cells, and to evaluate interactions between a specific cell and its neighboring cells in a competitive culture system. AFM can also be used to indent cells, to study how they regulate the stiffness or shape of the cell membrane or wall.

In some variations, electric potentials can also be scanned using conducting cantilevers. In more advanced versions, currents can be passed through the tip to probe the electrical conductivity or transport of the underlying surface, but this is a challenging task with few research groups reporting consistent data (as of 2004).[9] AFM techniques such as conductive atomic force microscopy (C-AFM) and Kelvin probe force microscopy (KPFM) are increasingly used in solid-state battery research to analyze local conductivity variations, interfacial potential changes, and degradation mechanisms at the nanoscale.

Principles

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Electron micrograph of a used AFM cantilever. Image width ~100 micrometers
Electron micrograph of a used AFM cantilever. Image width ~30 micrometers

The AFM consists of a cantilever with a sharp tip (probe) at its end that is used to scan the specimen surface. The cantilever is typically silicon or silicon nitride with a tip radius of curvature on the order of nanometers. When the tip is brought into proximity of a sample surface, forces between the tip and the sample lead to a deflection of the cantilever according to Hooke's law.[10] Depending on the situation, forces that are measured in AFM include mechanical contact force, van der Waals forces, capillary forces, chemical bonding, electrostatic forces, magnetic forces (see magnetic force microscope, MFM), Casimir forces, solvation forces, etc. Along with force, additional quantities may simultaneously be measured through the use of specialized types of probes (see scanning thermal microscopy, scanning joule expansion microscopy, photothermal microspectroscopy, etc.).

Atomic force microscope topographical scan of a glass surface. The micro and nano-scale features of the glass can be observed, portraying the roughness of the material. The image space is (x,y,z) = (20 μm × 20 μm × 420 nm).

The AFM can be operated in a number of modes, depending on the application. In general, possible imaging modes are divided into static (also called contact) modes and a variety of dynamic (non-contact or "tapping") modes where the cantilever is vibrated or oscillated at a given frequency.[8]

Imaging modes

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AFM operation is usually described as one of three modes, according to the nature of the tip motion: contact mode, also called static mode (as opposed to the other two modes, which are called dynamic modes); tapping mode, also called intermittent contact, AC mode, or vibrating mode, or, after the detection mechanism, amplitude modulation AFM; and non-contact mode, or, again after the detection mechanism, frequency modulation AFM.

Despite the nomenclature, repulsive contact can occur or be avoided both in amplitude modulation AFM and frequency modulation AFM, depending on the settings.[citation needed]

Contact mode

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In contact mode, the tip is "dragged" across the surface of the sample and the contours of the surface are measured either using the deflection of the cantilever directly or, more commonly, using the feedback signal required to keep the cantilever at a constant position. Because the measurement of a static signal is prone to noise and drift, low stiffness cantilevers (i.e. cantilevers with a low spring constant, k) are used to achieve a large enough deflection signal while keeping the interaction force low. Close to the surface of the sample, attractive forces can be quite strong, causing the tip to "snap-in" to the surface. Thus, contact mode AFM is almost always done at a depth where the overall force is repulsive, that is, in firm "contact" with the solid surface.

Tapping mode

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Single polymer chains (0.4 nm thick) recorded in a tapping mode under aqueous media with different pH.[11]

In ambient conditions, most samples develop a liquid meniscus layer. Because of this, keeping the probe tip close enough to the sample for short-range forces to become detectable while preventing the tip from sticking to the surface presents a major problem for contact mode in ambient conditions. Dynamic contact mode (also called intermittent contact, AC mode or tapping mode) was developed to bypass this problem.[12] Nowadays, tapping mode is the most frequently used AFM mode when operating in ambient conditions or in liquids.

In tapping mode, the cantilever is driven to oscillate up and down at or near its resonance frequency. This oscillation is commonly achieved with a small piezo element in the cantilever holder, but other possibilities include an AC magnetic field (with magnetic cantilevers), piezoelectric cantilevers, or periodic heating with a modulated laser beam. The amplitude of this oscillation usually varies from several nm to 200 nm. In tapping mode, the frequency and amplitude of the driving signal are kept constant, leading to a constant amplitude of the cantilever oscillation as long as there is no drift or interaction with the surface. The interaction of forces acting on the cantilever when the tip comes close to the surface, van der Waals forces, dipole–dipole interactions, electrostatic forces, etc. cause the amplitude of the cantilever's oscillation to change (usually decrease) as the tip gets closer to the sample. This amplitude is used as the parameter that goes into the electronic servo that controls the height of the cantilever above the sample. The servo adjusts the height to maintain a set cantilever oscillation amplitude as the cantilever is scanned over the sample. A tapping AFM image is therefore produced by imaging the force of the intermittent contacts of the tip with the sample surface.[13]

Although the peak forces applied during the contacting part of the oscillation can be much higher than typically used in contact mode, tapping mode generally lessens the damage done to the surface and the tip compared to the amount done in contact mode. This can be explained by the short duration of the applied force, and because the lateral forces between tip and sample are significantly lower in tapping mode over contact mode. Tapping mode imaging is gentle enough even for the visualization of supported lipid bilayers or adsorbed single polymer molecules (for instance, 0.4 nm thick chains of synthetic polyelectrolytes) under liquid medium. With proper scanning parameters, the conformation of single molecules can remain unchanged for hours,[11] and even single molecular motors can be imaged while moving.

When operating in tapping mode, the phase of the cantilever's oscillation with respect to the driving signal can be recorded as well. This signal channel contains information about the energy dissipated by the cantilever in each oscillation cycle. Samples that contain regions of varying stiffness or with different adhesion properties can give a contrast in this channel that is not visible in the topographic image. Extracting the sample's material properties in a quantitative manner from phase images, however, is often not feasible.

Non-contact mode

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In non-contact atomic force microscopy mode, the tip of the cantilever does not contact the sample surface. The cantilever is instead oscillated at either its resonant frequency (frequency modulation) or just above (amplitude modulation) where the amplitude of oscillation is typically a few nanometers (<10 nm) down to a few picometers.[14] The van der Waals forces, which are strongest from 1 nm to 10 nm above the surface, or any other long-range force that extends above the surface acts to decrease the resonance frequency of the cantilever. This decrease in resonant frequency combined with the feedback loop system maintains a constant oscillation amplitude or frequency by adjusting the average tip-to-sample distance. Measuring the tip-to-sample distance at each (x,y) data point allows the scanning software to construct a topographic image of the sample surface.

Non-contact mode AFM does not suffer from tip or sample degradation effects that are sometimes observed after taking numerous scans with contact AFM. This makes non-contact AFM preferable to contact AFM for measuring soft samples, e.g. biological samples and organic thin film. In the case of rigid samples, contact and non-contact images may look the same. However, if a few monolayers of adsorbed fluid are lying on the surface of a rigid sample, the images may look quite different. An AFM operating in contact mode will penetrate the liquid layer to image the underlying surface, whereas in non-contact mode an AFM will oscillate above the adsorbed fluid layer to image both the liquid and surface.

Schemes for dynamic mode operation include frequency modulation where a phase-locked loop is used to track the cantilever's resonance frequency and the more common amplitude modulation with a servo loop in place to keep the cantilever excitation to a defined amplitude. In frequency modulation, changes in the oscillation frequency provide information about tip-sample interactions. Frequency can be measured with very high sensitivity and thus the frequency modulation mode allows for the use of very stiff cantilevers. Stiff cantilevers provide stability very close to the surface and, as a result, this technique was the first AFM technique to provide true atomic resolution in ultra-high vacuum conditions.[15]

In amplitude modulation, changes in the oscillation amplitude or phase provide the feedback signal for imaging. In amplitude modulation, changes in the phase of oscillation can be used to discriminate between different types of materials on the surface. Amplitude modulation can be operated either in the non-contact or in the intermittent contact regime. In dynamic contact mode, the cantilever is oscillated such that the separation distance between the cantilever tip and the sample surface is modulated.

Amplitude modulation has also been used in the non-contact regime to image with atomic resolution by using very stiff cantilevers and small amplitudes in an ultra-high vacuum environment.

Topographic image

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Image formation is a plotting method that produces a color mapping through changing the x–y position of the tip while scanning and recording the measured variable, i.e. the intensity of control signal, to each x–y coordinate. The color mapping shows the measured value corresponding to each coordinate. The image expresses the intensity of a value as a hue. Usually, the correspondence between the intensity of a value and a hue is shown as a color scale in the explanatory notes accompanying the image.

Operation mode of image forming of the AFM are generally classified into two groups from the viewpoint of whether or not it uses z-Feedback loop (not shown) to maintain the tip-sample distance to keep signal intensity exported by the detector. The first one (using z-Feedback loop), said to be "constant XX mode" (XX is something which kept by z-Feedback loop).

Topographic image formation mode is based on abovementioned "constant XX mode", z-Feedback loop controls the relative distance between the probe and the sample through outputting control signals to keep constant one of frequency, vibration and phase which typically corresponds to the motion of cantilever (for instance, voltage is applied to the Z-piezoelectric element and it moves the sample up and down towards the Z direction.

Topographic image of FM-AFM

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When the distance between the probe and the sample is brought to the range where atomic force may be detected, while a cantilever is excited in its natural eigenfrequency (f0), the resonance frequency f of the cantilever may shift from its original resonance frequency. In other words, in the range where atomic force may be detected, a frequency shift (df =ff0) will also be observed. When the distance between the probe and the sample is in the non-contact region, the frequency shift increases in negative direction as the distance between the probe and the sample gets smaller.

When the sample has concavity and convexity, the distance between the tip-apex and the sample varies in accordance with the concavity and convexity accompanied with a scan of the sample along x–y direction (without height regulation in z-direction). As a result, the frequency shift arises. The image in which the values of the frequency obtained by a raster scan along the x–y direction of the sample surface are plotted against the x–y coordination of each measurement point is called a constant-height image.

On the other hand, the df may be kept constant by moving the probe upward and downward (See (3) of FIG.5) in z-direction using a negative feedback (by using z-feedback loop) while the raster scan of the sample surface along the x–y direction. The image in which the amounts of the negative feedback (the moving distance of the probe upward and downward in z-direction) are plotted against the x–y coordination of each measurement point is a topographic image. In other words, the topographic image is a trace of the tip of the probe regulated so that the df is constant and it may also be considered to be a plot of a constant-height surface of the df.

Therefore, the topographic image of the AFM is not the exact surface morphology itself, but actually the image influenced by the bond-order between the probe and the sample, however, the topographic image of the AFM is considered to reflect the geographical shape of the surface more than the topographic image of a scanning tunnel microscope.

Force spectroscopy

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Besides imaging, AFM can be used for force spectroscopy, the direct measurement of tip-sample interaction forces as a function of the gap between the tip and sample. The result of this measurement is called a force-distance curve. For this method, the AFM tip is extended towards and retracted from the surface as the deflection of the cantilever is monitored as a function of piezoelectric displacement. These measurements have been used to measure nanoscale contacts, atomic bonding, Van der Waals forces, and Casimir forces, dissolution forces in liquids and single molecule stretching and rupture forces.[16] AFM has also been used to measure, in an aqueous environment, the dispersion force due to polymer adsorbed on the substrate.[17] Forces of the order of a few piconewtons can now be routinely measured with a vertical distance resolution of better than 0.1 nanometers. Force spectroscopy can be performed with either static or dynamic modes. In dynamic modes, information about the cantilever vibration is monitored in addition to the static deflection.[18]

Problems with the technique include no direct measurement of the tip-sample separation and the common need for low-stiffness cantilevers, which tend to "snap" to the surface. These problems are not insurmountable. An AFM that directly measures the tip-sample separation has been developed.[19] The snap-in can be reduced by measuring in liquids or by using stiffer cantilevers, but in the latter case a more sensitive deflection sensor is needed. By applying a small dither to the tip, the stiffness (force gradient) of the bond can be measured as well.[20]

Biological applications and other

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Force spectroscopy is used in biophysics to measure the mechanical properties of living material (such as tissue or cells)[21][22][23] or detect structures of different stiffness buried into the bulk of the sample using the stiffness tomography.[24] Another application was to measure the interaction forces between from one hand a material stuck on the tip of the cantilever, and from another hand the surface of particles either free or occupied by the same material. From the adhesion force distribution curve, a mean value of the forces has been derived. It allowed to make a cartography of the surface of the particles, covered or not by the material.[25] AFM has also been used for mechanically unfolding proteins.[26] In such experiments, the analyzes of the mean unfolding forces with the appropriate model[27] leads to the obtainment of the information about the unfolding rate and free energy profile parameters of the protein.

Identification of individual surface atoms

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The AFM can be used to image atoms and structures on a variety of surfaces. The atom at the apex of the tip "senses" individual atoms on the underlying surface when it begins the formation of chemical bonds with each atom. Because these chemical interactions subtly alter the tip's vibration frequency, they can be detected and mapped. This principle was used to distinguish between atoms of silicon, tin and lead on an alloy surface, by comparing these atomic fingerprints with values obtained from density functional theory (DFT) simulations.[28]

Interaction forces must be measured precisely for each type of atom expected in the sample, and then to compare with forces given by DFT simulations. It was found that the tip interacted most strongly with silicon atoms, and interacted 24% and 41% less strongly with tin and lead atoms, respectively. Each different type of atom could be identified in the matrix as the tip using this information.[28]

Probe

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An AFM probe has a sharp tip on the free-swinging end of a cantilever that protrudes from a holder.[29] The dimensions of the cantilever are in the scale of micrometers. The radius of the tip is usually on the scale of a few nanometers to a few tens of nanometers. (Specialized probes exist with much larger end radii, for example probes for indentation of soft materials.) The cantilever holder, also called the holder chip—often 1.6 mm by 3.4 mm in size—allows the operator to hold the AFM cantilever/probe assembly with tweezers and fit it into the corresponding holder clips on the scanning head of the atomic force microscope.

This device is most commonly called an "AFM probe", but other names include "AFM tip" and "cantilever" (employing the name of a single part as the name of the whole device). An AFM probe is a particular type of SPM probe.

AFM probes are manufactured with MEMS technology. Most AFM probes used are made from silicon (Si), but borosilicate glass and silicon nitride are also in use. AFM probes are considered consumables as they are often replaced when the tip apex becomes dull or contaminated or when the cantilever is broken. They can cost from a couple of tens of dollars up to hundreds of dollars per cantilever for the most specialized cantilever/probe combinations.

To use the device, the tip is brought very close to the surface of the object under investigation, and the cantilever is deflected by the interaction between the tip and the surface, which is what the AFM is designed to measure. A spatial map of the interaction can be made by measuring the deflection at many points on a 2D surface.

Several types of interaction can be detected. Depending on the interaction under investigation, the surface of the tip of the AFM probe needs to be modified with a coating. Among the coatings used are gold – for covalent bonding of biological molecules and the detection of their interaction with a surface,[30] diamond for increased wear resistance[31] and magnetic coatings for detecting the magnetic properties of the investigated surface.[32] Another solution exists to achieve high resolution magnetic imaging: equipping the probe with a microSQUID. The AFM tips are fabricated using silicon micro machining and the precise positioning of the microSQUID loop is achieved using electron beam lithography.[33] The additional attachment of a quantum dot to the tip apex of a conductive probe enables surface potential imaging with high lateral resolution, scanning quantum dot microscopy.[34]

The surface of the cantilevers can also be modified. These coatings are mostly applied in order to increase the reflectance of the cantilever and to improve the deflection signal.

Forces as a function of tip geometry

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The forces between the tip and the sample strongly depend on the geometry of the tip. Various studies were exploited in the past years to write the forces as a function of the tip parameters.

Among the different forces between the tip and the sample, the water meniscus forces are highly interesting, both in air and liquid environment. Other forces must be considered, like the Coulomb force, van der Waals forces, double layer interactions, solvation forces, hydration and hydrophobic forces.

Water meniscus

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Water meniscus forces are highly interesting for AFM measurements in air. Due to the ambient humidity, a thin layer of water is formed between the tip and the sample during air measurements. The resulting capillary force gives rise to a strong attractive force that pulls the tip onto the surface. In fact, the adhesion force measured between tip and sample in ambient air of finite humidity is usually dominated by capillary forces. As a consequence, it is difficult to pull the tip away from the surface. For soft samples including many polymers and in particular biological materials, the strong adhesive capillary force gives rise to sample degradation and destruction upon imaging in contact mode. Historically, these problems were an important motivation for the development of dynamic imaging in air (e.g. "tapping mode"). During tapping mode imaging in air, capillary bridges still form. Yet, for suitable imaging conditions, the capillary bridges are formed and broken in every oscillation cycle of the cantilever normal to the surface, as can be inferred from an analysis of cantilever amplitude and phase vs. distance curves.[35] As a consequence, destructive shear forces are largely reduced and soft samples can be investigated.

In order to quantify the equilibrium capillary force, it is necessary to start from the Laplace equation for pressure:

Model for AFM water meniscus

where γL, is the surface energy and r0 and r1 are defined in the figure.

The pressure is applied on an area of

where θ is the angle between the tip's surface and the liquid's surface while h is the height difference between the surrounding liquid and the top of the miniscus.

The force that pulls together the two surfaces is

The same formula could also be calculated as a function of relative humidity.

Gao[36] calculated formulas for different tip geometries. As an example, the force decreases by 20% for a conical tip with respect to a spherical tip.

When these forces are calculated, a difference must be made between the wet on dry situation and the wet on wet situation.

For a spherical tip, the force is:

for dry on wet,
for wet on wet,

where θ is the contact angle of the dry sphere and φ is the immersed angle, as shown in the figure

For a conical tip, the formula becomes:

for dry on wet
for wet on wet

where δ is the half cone angle and r0 and h are parameters of the meniscus profile.

AFM cantilever-deflection measurement

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Beam-deflection measurement

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AFM beam-deflection detection

The most common method for cantilever-deflection measurements is the beam-deflection method. In this method, laser light from a solid-state diode is reflected off the back of the cantilever and collected by a position-sensitive detector (PSD) consisting of two closely spaced photodiodes, whose output signal is collected by a differential amplifier. Angular displacement of the cantilever results in one photodiode collecting more light than the other photodiode, producing an output signal (the difference between the photodiode signals normalized by their sum), which is proportional to the deflection of the cantilever. The sensitivity of the beam-deflection method is very high, and a noise floor on the order of 10 fm Hz12 can be obtained routinely in a well-designed system. Although this method is sometimes called the "optical lever" method, the signal is not amplified if the beam path is made longer. A longer beam path increases the motion of the reflected spot on the photodiodes, but also widens the spot by the same amount due to diffraction, so that the same amount of optical power is moved from one photodiode to the other. The "optical leverage" (output signal of the detector divided by deflection of the cantilever) is inversely proportional to the numerical aperture of the beam focusing optics, as long as the focused laser spot is small enough to fall completely on the cantilever. It is also inversely proportional to the length of the cantilever.

The relative popularity of the beam-deflection method can be explained by its high sensitivity and simple operation, and by the fact that cantilevers do not require electrical contacts or other special treatments, and can therefore be fabricated relatively cheaply with sharp integrated tips.

Other deflection-measurement methods

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Many other methods for beam-deflection measurements exist.

  • Piezoelectric detection – Cantilevers made from quartz[37] (such as the qPlus configuration), or other piezoelectric materials can directly detect deflection as an electrical signal. Cantilever oscillations down to 10pm have been detected with this method.
  • Laser Doppler vibrometry – A laser Doppler vibrometer can be used to produce very accurate deflection measurements for an oscillating cantilever[38] (thus is only used in non-contact mode). This method is expensive and is only used by relatively few groups.
  • Scanning tunneling microscope (STM) — The first atomic microscope used an STM complete with its own feedback mechanism to measure deflection.[8] This method is very difficult to implement, and is slow to react to deflection changes compared to modern methods.
  • Optical interferometryOptical interferometry can be used to measure cantilever deflection.[39] Due to the nanometre scale deflections measured in AFM, the interferometer is running in the sub-fringe regime, thus, any drift in laser power or wavelength has strong effects on the measurement. For these reasons optical interferometer measurements must be done with great care (for example using index matching fluids between optical fibre junctions), with very stable lasers. For these reasons optical interferometry is rarely used.
  • Capacitive detection – Metal coated cantilevers can form a capacitor with another contact located behind the cantilever.[40] Deflection changes the distance between the contacts and can be measured as a change in capacitance.
  • Piezoresistive detection – Cantilevers can be fabricated with piezoresistive elements that act as a strain gauge. Using a Wheatstone bridge, strain in the AFM cantilever due to deflection can be measured.[41] This is not commonly used in vacuum applications, as the piezoresistive detection dissipates energy from the system affecting Q of the resonance.

Piezoelectric scanners

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AFM scanners are made from piezoelectric material, which expands and contracts proportionally to an applied voltage. Whether they elongate or contract depends upon the polarity of the voltage applied. Traditionally the tip or sample is mounted on a "tripod" of three piezo crystals, with each responsible for scanning in the x,y and z directions.[8] In 1986, the same year as the AFM was invented, a new piezoelectric scanner, the tube scanner, was developed for use in STM.[42] Later tube scanners were incorporated into AFMs. The tube scanner can move the sample in the x, y, and z directions using a single tube piezo with a single interior contact and four external contacts. An advantage of the tube scanner compared to the original tripod design, is better vibrational isolation, resulting from the higher resonant frequency of the single element construction, in combination with a low resonant frequency isolation stage. A disadvantage is that the x-y motion can cause unwanted z motion resulting in distortion. Another popular design for AFM scanners is the flexure stage, which uses separate piezos for each axis, and couples them through a flexure mechanism.

Scanners are characterized by their sensitivity, which is the ratio of piezo movement to piezo voltage, i.e., by how much the piezo material extends or contracts per applied volt. Due to the differences in material or size, the sensitivity varies from scanner to scanner. Sensitivity varies non-linearly with respect to scan size. Piezo scanners exhibit more sensitivity at the end than at the beginning of a scan. This causes the forward and reverse scans to behave differently and display hysteresis between the two scan directions.[43] This can be corrected by applying a non-linear voltage to the piezo electrodes to cause linear scanner movement and calibrating the scanner accordingly.[43] One disadvantage of this approach is that it requires re-calibration because the precise non-linear voltage needed to correct non-linear movement will change as the piezo ages (see below). This problem can be circumvented by adding a linear sensor to the sample stage or piezo stage to detect the true movement of the piezo. Deviations from ideal movement can be detected by the sensor and corrections applied to the piezo drive signal to correct for non-linear piezo movement. This design is known as a "closed loop" AFM. Non-sensored piezo AFMs are referred to as "open loop" AFMs.

The sensitivity of piezoelectric materials decreases exponentially with time. This causes most of the change in sensitivity to occur in the initial stages of the scanner's life. Piezoelectric scanners are run for approximately 48 hours before they are shipped from the factory so that they are past the point where they may have large changes in sensitivity. As the scanner ages, the sensitivity will change less with time and the scanner would seldom require recalibration,[44][45] though various manufacturer manuals recommend monthly to semi-monthly calibration of open loop AFMs.

Advantages and disadvantages

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The first atomic force microscope

Advantages

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AFM has several advantages over the scanning electron microscope (SEM). Unlike the electron microscope, which provides a two-dimensional projection or a two-dimensional image of a sample, the AFM provides a three-dimensional surface profile. In addition, samples viewed by AFM do not require any special treatments (such as metal/carbon coatings) that would irreversibly change or damage the sample, and does not typically suffer from charging artifacts in the final image. While an electron microscope needs an expensive vacuum environment for proper operation, most AFM modes can work perfectly well in ambient air or even a liquid environment. This makes it possible to study biological macromolecules and even living organisms. In principle, AFM can provide higher resolution than SEM. It has been shown to give true atomic resolution in ultra-high vacuum (UHV) and, more recently, in liquid environments. High resolution AFM is comparable in resolution to scanning tunneling microscopy and transmission electron microscopy. AFM can also be combined with a variety of optical microscopy and spectroscopy techniques such as fluorescent microscopy of infrared spectroscopy, giving rise to scanning near-field optical microscopy, nano-FTIR and further expanding its applicability. Combined AFM-optical instruments have been applied primarily in the biological sciences but have recently attracted strong interest in photovoltaics[13] and energy-storage research,[46] polymer sciences,[47] nanotechnology[48][49] and even medical research.[50]

Disadvantages

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A disadvantage of AFM compared with the scanning electron microscope (SEM) is the single scan image size. In one pass, the SEM can image an area on the order of square millimeters with a depth of field on the order of millimeters, whereas the AFM can only image a maximum scanning area of about 150×150 micrometers and a maximum height on the order of 10–20 micrometers. One method of improving the scanned area size for AFM is by using parallel probes in a fashion similar to that of millipede data storage.

The scanning speed of an AFM is also a limitation. Traditionally, an AFM cannot scan images as fast as an SEM, requiring several minutes for a typical scan, while an SEM is capable of scanning at near real-time, although at relatively low quality. The relatively slow rate of scanning during AFM imaging often leads to thermal drift in the image[51][52][53] making the AFM less suited for measuring accurate distances between topographical features on the image. However, several fast-acting designs[54][55] were suggested to increase microscope scanning productivity including what is being termed videoAFM (reasonable quality images are being obtained with videoAFM at video rate: faster than the average SEM). To eliminate image distortions induced by thermal drift, several methods have been introduced.[51][52][53]

Showing an AFM artifact arising from a tip with a high radius of curvature with respect to the feature that is to be visualized
AFM artifact, steep sample topography

AFM images can also be affected by nonlinearity, hysteresis,[43] and creep of the piezoelectric material and cross-talk between the x, y, z axes that may require software enhancement and filtering. Such filtering could "flatten" out real topographical features. However, newer AFMs utilize real-time correction software (for example, feature-oriented scanning[44][51]) or closed-loop scanners, which practically eliminate these problems. Some AFMs also use separated orthogonal scanners (as opposed to a single tube), which also serve to eliminate part of the cross-talk problems.

As with any other imaging technique, there is the possibility of image artifacts, which could be induced by an unsuitable tip, a poor operating environment, or even by the sample itself, as depicted on the right. These image artifacts are unavoidable; however, their occurrence and effect on results can be reduced through various methods. Artifacts resulting from a too-coarse tip can be caused for example by inappropriate handling or de facto collisions with the sample by either scanning too fast or having an unreasonably rough surface, causing actual wearing of the tip.

Due to the nature of AFM probes, they cannot normally measure steep walls or overhangs. Specially made cantilevers and AFMs can be used to modulate the probe sideways as well as up and down (as with dynamic contact and non-contact modes) to measure sidewalls, at the cost of more expensive cantilevers, lower lateral resolution and additional artifacts.

Other applications in various fields of study

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AFM image of part of a Golgi apparatus isolated from HeLa cells

The latest efforts in integrating nanotechnology and biological research have been successful and show much promise for the future, including in fields such as nanobiomechanics.[56] Since nanoparticles are a potential vehicle of drug delivery, the biological responses of cells to these nanoparticles are continuously being explored to optimize their efficacy and how their design could be improved.[57] Pyrgiotakis et al. were able to study the interaction between CeO2 and Fe2O3 engineered nanoparticles and cells by attaching the engineered nanoparticles to the AFM tip.[58] Studies have taken advantage of AFM to obtain further information on the behavior of live cells in biological media. Real-time atomic force spectroscopy (or nanoscopy) and dynamic atomic force spectroscopy have been used to study live cells and membrane proteins and their dynamic behavior at high resolution, on the nanoscale. Imaging and obtaining information on the topography and the properties of the cells has also given insight into chemical processes and mechanisms that occur through cell-cell interaction and interactions with other signaling molecules (ex. ligands). Evans and Calderwood used single cell force microscopy to study cell adhesion forces, bond kinetics/dynamic bond strength and its role in chemical processes such as cell signaling.[59] Scheuring, Lévy, and Rigaud reviewed studies in which AFM to explore the crystal structure of membrane proteins of photosynthetic bacteria.[60] Alsteen et al. have used AFM-based nanoscopy to perform a real-time analysis of the interaction between live mycobacteria and antimycobacterial drugs (specifically isoniazid, ethionamide, ethambutol, and streptomycine),[61] which serves as an example of the more in-depth analysis of pathogen-drug interactions that can be done through AFM.

See also

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icon Science portal

References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Atomic force microscopy (AFM) is a type of scanning probe microscopy that images the topography of a sample surface by measuring the interaction forces between a sharp nanoscale probe attached to a flexible cantilever and the atoms on the sample.[1] The technique provides nanometer to atomic-scale resolution and can operate in various environments, including air, vacuum, and liquids, making it suitable for both conductive and insulating materials.[2] Unlike scanning tunneling microscopy, which requires electrical conductivity, AFM relies on mechanical forces such as van der Waals attractions and repulsive electrostatic interactions.[1] Invented in 1986 by Gerd Binnig, Calvin F. Quate, and Christoph Gerber, AFM combines principles from the stylus profilometer and scanning tunneling microscopy to overcome limitations in imaging non-conductive surfaces.[1] The core components include a sharp probe tip (typically 10–100 nm in radius) mounted on a cantilever, a piezoelectric scanner to raster the tip or sample, and a detection system—often a laser beam reflected from the cantilever onto a quadrant photodetector—that senses deflections as small as 0.1 nm.[3] A feedback loop adjusts the tip-sample distance to maintain constant force or oscillation amplitude, generating height maps that reveal surface features.[2] AFM operates in multiple modes to suit different applications: contact mode for direct surface contact and high-resolution topography; non-contact mode for imaging delicate samples using long-range attractive forces; and tapping mode, which oscillates the cantilever near its resonance frequency to minimize damage while enabling dynamic measurements.[2] Beyond imaging, AFM enables force spectroscopy to quantify mechanical properties like elasticity and adhesion, as well as manipulation of individual molecules.[2] Its versatility has made it indispensable in fields such as materials science for studying nanostructures, biology for visualizing biomolecules in native environments, and nanotechnology for device characterization.[2]

Introduction

Definition and basic principles

Atomic force microscopy (AFM) is a type of scanning probe microscopy (SPM) that images and measures surface properties at the nanoscale by raster-scanning a sharp probe mounted at the end of a flexible cantilever across a sample surface.[1] The technique enables high-resolution mapping of topography and mechanical, electrical, or magnetic properties without the limitations of sample conductivity required by methods like scanning tunneling microscopy.[4] In its basic operation, the probe tip interacts with the sample through short-range interatomic forces, such as attractive van der Waals forces or repulsive contact forces, causing minute deflections in the cantilever.[1] These deflections are precisely detected, often using laser reflection or interferometry, and converted into topographic data as the probe scans in a raster pattern. A feedback loop adjusts the probe-sample distance in real time to maintain constant force (in contact mode) or oscillation amplitude (in dynamic modes), ensuring stable imaging conditions.[1] The spatial resolution of AFM reaches atomic scales, typically 0.1–1 nm laterally and 0.01 nm vertically, owing to the probe tip's sharpness with a radius of about 10 nm.[5] This high precision arises from the localized nature of the tip-sample interaction, allowing visualization of individual atoms or molecules. Unlike electron microscopy techniques, which often require high-vacuum environments and can cause beam-induced damage, AFM operates non-destructively in ambient air, liquids, or vacuum, making it suitable for delicate biological and soft materials.[6]

Historical development

Atomic force microscopy (AFM) was invented in 1986 by Gerd Binnig, Calvin F. Quate, and Christoph Gerber at IBM Zurich Research Laboratory, building on the scanning tunneling microscope (STM) to enable imaging of non-conductive samples by measuring interatomic forces rather than tunneling currents. Their seminal paper in Physical Review Letters described the first AFM prototype, which used a diamond stylus on a cantilever to detect surface topography on an atomic scale through attractive and repulsive forces, achieving resolutions down to 3 nm laterally and less than 0.1 nm vertically on an insulating sapphire surface.[1] This innovation extended scanning probe techniques beyond conductive surfaces, earning indirect recognition through the 1986 Nobel Prize in Physics awarded to Binnig and Heinrich Rohrer for STM, which laid the groundwork for AFM. In the early 1990s, advancements addressed limitations of the initial contact-mode AFM, such as sample damage from lateral forces on soft materials. The tapping mode was introduced in 1993 by Qing Zhong, David Inniss, and colleagues from the Paul Hansma group at the University of California, Santa Barbara, involving oscillation of the cantilever near its resonant frequency to intermittently "tap" the surface, minimizing shear forces and enabling high-resolution imaging of delicate biological samples like DNA without deformation.[7] Concurrently, frequency modulation AFM (FM-AFM) was developed in 1991 by Franz J. Giessibl, Thomas R. Albrecht, and coworkers at IBM, using high-quality-factor cantilevers to detect minute frequency shifts caused by tip-sample interactions, which facilitated true non-contact operation with enhanced sensitivity for atomic-scale imaging in ultrahigh vacuum. These modes, detailed in key publications like Albrecht et al.'s Journal of Applied Physics article, became foundational, with FM-AFM gaining widespread adoption in the 2000s for precise force spectroscopy on surfaces. The 2000s marked further evolution toward dynamic and specialized applications, exemplified by high-speed AFM pioneered by Toshio Ando and his team at Kanazawa University, who achieved video-rate imaging of biomolecules in liquids by optimizing cantilever dynamics, scanners, and feedback systems, with a breakthrough practical system demonstrated in 2008 capable of 10 frames per second at sub-nanometer resolution. By the 2010s, cryogenic AFM emerged for studying quantum materials at low temperatures, such as superconductors and topological insulators; for instance, low-noise systems operating below 4 K enabled mapping of local electronic properties in graphene and other 2D materials without thermal drift. Up to 2025, recent innovations have integrated artificial intelligence (AI) for automated data analysis and operation, enhancing throughput and accuracy; machine learning algorithms enable real-time object detection and autonomous scanning, reducing manual intervention for large-scale biomechanical studies of cells.[8] These AI-driven tools, combined with multimodal integrations like combining AFM with optical or electrical measurements, continue to expand AFM's utility in materials science and biology, building on its foundational milestones.

Instrument Components

Probe and cantilever

The atomic force microscopy (AFM) probe is composed of a sharp nanotip mounted at the free end of a flexible microcantilever, serving as the primary force-sensing element that interacts with the sample surface.[9] The cantilever is typically a microfabricated beam with lengths ranging from 100 to 500 μm, designed to exhibit high sensitivity to minute forces while maintaining mechanical stability.[9] Common geometries include rectangular and V-shaped (or triangular) cantilevers, where rectangular designs offer uniform stiffness along the length for precise deflection measurements, and V-shaped configurations provide enhanced resistance to torsional motion, reducing lateral bending artifacts during scanning.[10] These cantilevers are fabricated from materials such as silicon (Si) or silicon nitride (Si₃N₄) using photolithography, anisotropic etching, and deposition techniques to achieve precise dimensions and low mass. To facilitate optical detection of deflection, the dorsal surface of the cantilever is coated with a thin reflective layer, usually aluminum or gold, approximately 20-30 nm thick, which enhances laser reflectivity by up to 2.5 times.[11] The spring constant kk of the cantilever, which quantifies its stiffness, typically spans 0.01 to 100 N/m, allowing adaptation to various imaging conditions; softer cantilevers with k<0.1k < 0.1 N/m are specialized for biological samples to minimize damage to delicate structures like cells or polymers.[12] The force FF experienced by the cantilever is related to its deflection δ\delta through Hooke's law: F=kδF = -k \delta. This linear relationship arises from the cantilever's elastic deformation under small displacements, modeled as a simple harmonic oscillator where the restoring force opposes the applied interaction. To derive this, consider the cantilever as a beam fixed at one end; the differential equation for bending under a point load at the free end yields the deflection δ=FL33EI\delta = \frac{F L^3}{3 E I}, where LL is length, EE is Young's modulus, and II is the moment of inertia. The effective spring constant is then k=3EIL3k = \frac{3 E I}{L^3}, simplifying to F=kδF = -k \delta for the quasistatic regime relevant to AFM force sensing.[13] The probe tip, integral to the cantilever, features a sharp apex with radii of 2-50 nm to achieve atomic-scale resolution, fabricated from Si, Si₃N₄, or diamond-coated variants for enhanced durability.[14] Tip fabrication often involves isotropic etching to form the initial pyramid, followed by focused ion beam (FIB) milling or oxidation sharpening to refine the apex geometry. Diamond coatings, applied via chemical vapor deposition, extend tip lifetime in abrasive environments.[14] Despite these advancements, challenges persist in probe performance, including tip wear from repeated sample interactions, which can blunt the apex and degrade resolution over scans.[15] Contamination, such as adsorbed hydrocarbons or debris pickup, alters the effective tip shape and introduces imaging artifacts, particularly in ambient conditions.[16] Additionally, tip geometry influences the measured interaction forces and topographic fidelity, as non-ideal shapes like broadened sidewalls convolute the sample profile, limiting lateral resolution.[17]

Piezoelectric scanner

The piezoelectric scanner serves as the core actuation mechanism in atomic force microscopy (AFM), enabling precise three-dimensional positioning of either the probe tip or the sample surface to facilitate high-resolution scanning. These scanners are predominantly constructed from lead zirconate titanate (PZT), a ferroelectric ceramic valued for its strong electromechanical coupling, and are designed in forms such as piezoelectric tubes or stacked actuators to generate motion along the x, y, and z axes. Piezoelectric tube scanners, featuring a cylindrical structure with four quartered outer electrodes for lateral (xy) scanning and a continuous inner electrode for vertical (z) motion, offer a compact and integrated solution for orthogonal displacement without mechanical linkages. Stack actuators, composed of layered PZT elements bonded together, provide higher force output and are often used in modular configurations for enhanced rigidity.[18][19] The fundamental operating principle of the piezoelectric scanner exploits the converse piezoelectric effect, wherein an applied electric field induces proportional mechanical strain in the material, resulting in controlled expansion or contraction. For PZT materials commonly employed in AFM, the longitudinal piezoelectric strain constant d33d_{33} is approximately 500 pm/V, enabling sub-nanometer positioning resolution critical for atomic-scale imaging. The resulting displacement ΔL\Delta L along the piezo element's length is given by the equation
ΔL=dVLt, \Delta L = d \cdot V \cdot \frac{L}{t},
where dd represents the piezoelectric constant (e.g., d33d_{33}), VV is the applied voltage, LL is the effective length of the piezo element, and tt is its thickness. This relation stems from the strain S=dES = d \cdot E produced under the electric field E=V/tE = V / t, yielding ΔL=SL\Delta L = S \cdot L for free displacement in the absence of external loads. Typical operational ranges for such scanners include approximately 100 μ\mum ×\times 100 μ\mum in the xy plane and 10 μ\mum in the z direction, balancing field of view with nanoscale precision.[20][21][22] Despite their responsiveness, piezoelectric scanners suffer from inherent nonlinearities, including hysteresis (path-dependent displacement up to 15-20% of full range), creep (slow drift over time), and voltage nonlinearity, which can introduce positioning errors and image artifacts in AFM. These limitations are effectively mitigated through closed-loop control architectures that integrate direct position-sensing elements, such as embedded strain gauges, interferometers, or capacitive sensors, to monitor actual displacement and apply corrective voltages in real time. Such feedback systems achieve positioning accuracies below 1 nm, ensuring reliable operation for extended imaging sessions.[23][24] Piezoelectric scanners in AFM are implemented in two primary configurations: sample-scanning, where the scanner moves the specimen beneath a stationary probe, and tip-scanning, where the probe is actuated over a fixed sample. Sample-scanning designs accommodate larger or non-planar specimens and minimize probe drift influences, whereas tip-scanning configurations facilitate straightforward alignment with auxiliary optics and reduce sample perturbation. The choice between these depends on application requirements, with tube scanners often favored in tip-scanning setups for their simplicity and low mass.[25]

Detection and feedback systems

In atomic force microscopy (AFM), cantilever deflection is primarily detected using optical beam deflection, where a laser beam is directed onto the back of the cantilever and reflected onto a quadrant photodiode to measure angular changes corresponding to deflection.[26] This method offers high sensitivity, typically achieving sub-nanometer resolution, and is the most widely adopted due to its simplicity and compatibility with various environments.[26] Interferometric detection serves as an alternative, employing a laser interferometer to directly measure the cantilever's displacement through interference patterns, providing enhanced precision in low-noise conditions but requiring more complex alignment.[27] Piezoelectric strain gauges, often implemented as piezoresistive elements integrated into the cantilever, detect deflection via changes in electrical resistance induced by mechanical strain, enabling compact, self-contained sensing without external optics, though with potentially lower sensitivity compared to optical methods.[28] The detected cantilever deflection feeds into a closed-loop control system that maintains stable tip-sample interaction during scanning. A proportional-integral-derivative (PID) controller processes the signal to adjust the voltage applied to the z-axis piezoelectric scanner, ensuring the tip follows the sample topography without excessive force or separation.[29] The core of this feedback is the error signal, defined as $ e = $ setpoint $ - $ measured deflection (or oscillation amplitude in dynamic modes), which drives the PID response to minimize deviations.[30] The setpoint represents the desired interaction level, such as a constant force or amplitude, calibrated based on cantilever spring constant properties.[29] Feedback configurations vary to suit different applications: in constant force mode, the PID actively adjusts the z-piezo to keep the cantilever deflection (and thus applied force) at the setpoint, enabling gentle imaging of delicate samples.[31] Conversely, constant height mode disables z-feedback, fixing the scanner height while allowing deflection to vary with topography, which supports faster scans on flat surfaces but risks tip damage on rough ones.[31] Performance is limited by noise sources, including thermal fluctuations that excite cantilever vibrations according to the equipartition theorem, electronic noise from detection electronics degrading signal-to-noise ratio, and environmental vibrations from acoustics or building motion that couple into the system.[32][33] These are mitigated through vibration isolation, low-temperature operation, and optimized PID gains to achieve atomic-scale stability.[33]

Fundamental Principles

Interatomic forces and interactions

The interatomic forces governing atomic force microscopy (AFM) arise primarily from interactions between atoms or molecules at the probe tip and sample surface, enabling nanoscale imaging and manipulation. These forces encompass van der Waals attractions, which dominate short-range interactions; capillary forces from adsorbed moisture; electrostatic forces due to charge distributions; and magnetic forces in systems involving ferromagnetic materials.[34] Van der Waals forces, typically attractive and on the order of 10910^{-9} N at separations of approximately 1 nm, stem from transient dipole-induced dipole couplings between neutral atoms.[34] Capillary forces, often the strongest in ambient conditions, result from the liquid meniscus formed by water vapor adsorbing onto hydrophilic surfaces, leading to adhesion strengths up to several nanonewtons.[35] Electrostatic forces emerge from Coulombic interactions between charged tip and sample, scaling inversely with distance squared, while magnetic forces, relevant for magnetic domain imaging, arise from dipole alignments in magnetized samples and can extend over tens of nanometers.[34] Force-distance curves, obtained by measuring cantilever deflection as the tip approaches and retracts from the sample, reveal the interplay of these forces. During approach, the curve shows an initial flat region at large separations where forces are negligible, followed by a steep "snap-in" instability when attractive forces exceed the cantilever's restoring force, causing rapid tip-sample contact.[34] The retract curve exhibits hysteresis, with a characteristic adhesion peak where pull-off occurs, often due to capillary or van der Waals bonding, and can show long-range tails from electrostatic or magnetic contributions.[34] This hysteresis quantifies energy dissipation and adhesion, with snap-in distances typically 5–20 nm in air, influenced by humidity and surface chemistry.[34] The van der Waals interaction is commonly modeled by the Lennard-Jones potential, which approximates the pairwise atomic potential energy as a function of separation rr:
V(r)=4ϵ[(σr)12(σr)6] V(r) = 4\epsilon \left[ \left( \frac{\sigma}{r} \right)^{12} - \left( \frac{\sigma}{r} \right)^6 \right]
Here, ϵ\epsilon represents the binding energy (depth of the potential well), and σ\sigma is the distance where V(r)=0V(r) = 0, typically around 0.3–0.4 nm for many materials.[36] The corresponding force is the negative gradient:
F(r)=dVdr=24ϵσ[2(σr)13(σr)7] F(r) = -\frac{dV}{dr} = 24 \frac{\epsilon}{\sigma} \left[ 2 \left( \frac{\sigma}{r} \right)^{13} - \left( \frac{\sigma}{r} \right)^7 \right]
This yields a short-range repulsive term (proportional to r13r^{-13}) from Pauli exclusion and orbital overlap, balancing the longer-range attractive term (proportional to r7r^{-7}) from dispersion forces; the minimum occurs at r1.1σr \approx 1.1\sigma, with force zero at equilibrium.[36] For macroscopic tip-sample interactions, the potential is integrated over volumes, leading to a force scaling as FAR/(6z2)F \propto -A R / (6 z^2) for a spherical tip of radius RR at separation zz, where AA is the Hamaker constant.[34] The Hamaker constant AA, a material-specific parameter encapsulating van der Waals strengths, is given by A=π2Cρ1ρ2A = \pi^2 C \rho_1 \rho_2, with CC the Lennard-Jones dispersion coefficient and ρ1,2\rho_{1,2} the atomic densities of tip and sample.[34] Typical values range from 102010^{-20} to 101910^{-19} J; for example, A6.5×1020A \approx 6.5 \times 10^{-20} J for silica-vacuum-silica interactions, increasing in liquids due to medium effects. This constant allows prediction of interaction strengths across material pairs, essential for interpreting AFM data.[34] Tip geometry significantly modulates these forces, with long-range interactions (e.g., electrostatic, magnetic) integrating over the entire tip cone or cantilever, while short-range van der Waals and contact repulsion localize at the apex.[34] For conical or pyramidal tips, the effective radius affects force gradients; sharper tips (radii <10 nm) enhance resolution of atomic-scale features but amplify capillary adhesion via larger meniscus volumes.[35] In humid environments, water meniscus formation around the tip geometry can increase adhesion by 10–100 times compared to dry conditions, with force scaling proportional to tip radius and contact angle.[35]

Cantilever deflection and force measurement

In atomic force microscopy (AFM), the forces between the probe tip and the sample surface cause the cantilever to deflect, enabling quantitative measurement of these interactions. The deflection δ follows Hooke's law, expressed as $ F = k \delta $, where $ F $ is the force, $ k $ is the cantilever's spring constant, and δ represents the vertical displacement at the free end.[37] This relationship allows forces on the order of piconewtons to be detected, as typical spring constants range from 0.01 to 100 N/m depending on the cantilever design. For a rectangular cantilever under small deflections, the mechanics of bending can be described using Euler-Bernoulli beam theory, where the radius of curvature $ R $ at the base approximates $ R = L^2 / (2\delta) $, with $ L $ being the cantilever length. This curvature arises from the applied force, leading to a deflection profile that is cubic along the length. The resulting beam deflection angle $ \theta $ at the free end is given by $ \theta \approx 3\delta / (2L) $, which relates the end displacement to the angular tilt observed in detection systems.[38] In practice, deflection is quantified using the optical lever method, where a laser beam reflects off the cantilever backside onto a photodetector; the sensitivity $ s = \delta / V $ converts the photodetector voltage $ V $ to actual displacement δ, typically calibrated by pressing the tip against a rigid surface.[39] Accurate force measurement requires precise calibration of the spring constant $ k $, often achieved via the thermal noise method, which exploits the cantilever's Brownian motion in equilibrium. The method applies the equipartition theorem to the fundamental flexural mode, yielding $ k = 0.817 k_B T / \langle z^2 \rangle $, where $ k_B $ is the Boltzmann constant, $ T $ is the absolute temperature, and $ \langle z^2 \rangle $ is the mean-square displacement derived from the power spectral density of thermal fluctuations.[37] This nondestructive technique, introduced by Hutter and Bechhoefer, provides accuracies of 5-10% for soft cantilevers and is widely adopted due to its simplicity and applicability in various environments.[40] Quantitative force mapping involves converting raw deflection signals—obtained as voltage traces from the optical lever—into force units by applying the calibrated $ k $ and $ s $, often pixel-by-pixel across scanned areas to generate force-volume images. This process enables spatially resolved mapping of mechanical properties, such as stiffness variations on heterogeneous samples. However, the overall accuracy of force measurements is highly sensitive to the precision of $ k $, with uncertainties typically ranging from 10% to 30% depending on the calibration method and cantilever geometry; errors in $ k $ propagate directly to force values, limiting quantitative reliability in applications like biomolecular force spectroscopy.[38]

Operational Modes

Contact mode

Contact mode is the original and simplest operational mode of atomic force microscopy (AFM), in which the sharp probe tip attached to a flexible cantilever maintains continuous physical contact with the sample surface throughout the imaging process. The cantilever deflection, caused by the tip-sample interaction force, is monitored using a detection system, typically involving a laser beam reflected off the cantilever onto a photodetector. As the piezoelectric scanner rasters the tip or sample in the xy-plane, a feedback loop continuously adjusts the z-position of the scanner to maintain a constant cantilever deflection, corresponding to a setpoint force between 10^{-9} and 10^{-7} N. This z-displacement data is recorded to construct a topographic map of the surface height variations with nanometer lateral resolution and sub-angstrom vertical sensitivity.[41] In this mode, the dominant interactions occur in the repulsive force regime, where the tip-sample separation is less than approximately 0.5 nm, compressing the electron clouds of surface atoms and generating short-range Pauli exclusion forces that outweigh longer-range attractive van der Waals interactions. The constant force feedback ensures the tip follows the surface contour without excessive penetration, though the exact force setpoint must be carefully tuned to avoid sample deformation on compliant materials. This static contact approach contrasts with dynamic modes by relying solely on DC deflection signals rather than oscillatory responses.[42] The primary advantages of contact mode include its straightforward instrumentation, which requires no additional oscillators or drivers, enabling high scanning speeds up to several lines per second and suitability for imaging rough or steeply sloped surfaces on rigid samples without losing contact. It also supports atomic-scale resolution on crystalline materials like graphite or mica under ultra-high vacuum conditions, making it ideal for fundamental surface studies. However, the continuous sliding contact introduces significant lateral shear forces, which accelerate tip wear and can cause frictional damage or displacement of delicate features on soft or loosely bound samples, limiting its use to hard, stable substrates.[43] Contact mode finds widespread applications in topographic characterization of robust materials, such as metals, semiconductors, and inorganic thin films, where it provides reliable height profiles for quality control in microfabrication processes. For instance, it has been employed to image silicon wafer surfaces and gold films, revealing surface roughness and step edges with sub-nanometer precision essential for semiconductor device development. While less common for biological samples due to potential damage, minimized-force variants have been adapted for select rigid biomolecules in controlled environments.[44][45]

Tapping mode

Tapping mode operates by oscillating the cantilever close to its resonance frequency, typically ranging from 30 to 400 kHz for soft cantilevers, such that the sharp tip at its end makes intermittent contact with the sample surface during each cycle. This dynamic approach, introduced in 1993, allows the tip to "tap" the surface lightly, with the amplitude of oscillation decreasing upon interaction due to short-range repulsive forces dominating near the surface.[46] The feedback loop monitors this amplitude reduction and adjusts the vertical position of the piezoelectric scanner to maintain a user-defined setpoint, enabling topographic mapping with atomic-scale resolution while the raster scan proceeds laterally. The setpoint amplitude is conventionally set to 70-90% of the free oscillation amplitude (the amplitude in air away from the sample) to balance imaging stability and minimize damage; values closer to 70% ensure sufficient contact for resolution, while higher ratios prevent the snap-in instability from capillary or van der Waals forces pulling the tip into continuous contact. Feedback can alternatively track phase shifts instead of amplitude for enhanced contrast in certain materials, though amplitude control remains standard for topography. A key advantage of tapping mode is the drastic reduction of lateral shear and frictional forces compared to contact mode, as contact occurs only briefly at the bottom of each oscillation cycle, preserving fragile structures. This makes it ideal for imaging soft, adhesive, or deformable samples such as polymers, biological tissues, and nanostructures, where continuous contact would cause deformation, wear, or displacement. For instance, tapping mode has enabled high-fidelity imaging of DNA strands and protein assemblies on substrates without altering their native conformation.[47] Phase imaging, an extension of tapping mode, captures the phase lag φ between the driving oscillation and the cantilever's response, revealing material-specific contrasts beyond topography. This lag arises from the interplay of elastic and dissipative tip-sample interactions, quantified approximately as
ϕ=tan1(dissipative componentelastic component),\phi = \tan^{-1}\left( \frac{\text{dissipative component}}{\text{elastic component}} \right),
where the dissipative term reflects viscous losses and adhesion, and the elastic term corresponds to the conservative force gradient. Lags near 90° indicate purely elastic responses (minimal energy loss), while deviations toward 0° or 180° signal dissipative behavior, enabling mapping of viscoelastic properties like stiffness variations in composite materials. The mode's performance depends on the cantilever's quality factor $ Q = \frac{f_0}{\Delta f} $, where $ f_0 $ is the resonance frequency and $ \Delta f $ the bandwidth at half-maximum amplitude; higher $ Q $ (often 100-500 in air) amplifies small force-induced amplitude shifts, enhancing sensitivity but potentially slowing response in liquids where $ Q $ drops. Cantilever properties, such as spring constant and resonance, are optimized for tapping to ensure stable oscillations, as detailed in probe design considerations.

Non-contact mode

In non-contact atomic force microscopy (NC-AFM), the cantilever oscillates with a small amplitude typically less than 10 nm near its resonance frequency, remaining in the attractive force regime without physical contact between the tip and sample surface. The interaction between the tip and sample modifies the effective spring constant of the cantilever due to the force gradient, causing a shift in the oscillation frequency, denoted as Δf, which serves as the primary signal for imaging. This frequency shift arises from the conservative component of the tip-sample interaction and is particularly sensitive to long-range van der Waals forces and short-range chemical bonding forces.[48] The relationship between the frequency shift and the force gradient is given by the equation
Δf=f02kFz,\Delta f = -\frac{f_0}{2k} \frac{\partial F}{\partial z},
where f0f_0 is the free resonance frequency of the cantilever, kk is its spring constant, FF is the tip-sample force, and zz is the tip-sample separation. This approximation holds under the small-amplitude limit and harmonic oscillation assumption, linking the measurable Δf directly to the spatial derivative of the interaction force, F/z\partial F / \partial z. The negative sign indicates that an attractive force gradient (typical in NC-AFM) decreases the resonance frequency. This formulation, derived from the dynamics of a driven harmonic oscillator perturbed by a force gradient, enables quantitative mapping of interaction potentials without direct force measurement.[4] A prominent implementation is frequency modulation atomic force microscopy (FM-AFM), where the cantilever is driven at constant amplitude, and feedback maintains a constant frequency shift Δf to track surface topography. In this mode, ultra-high resolution, including sub-atomic contrast on insulating surfaces like silicon dioxide or graphite, has been achieved using stiff sensors such as the qPlus tuning fork, which offers low noise and high force sensitivity. For instance, bond-order discrimination and intra-atomic features have been resolved on insulators, surpassing conductive sample capabilities of scanning tunneling microscopy. Recent qPlus advancements in the 2020s, including optimized higher eigenmodes and biaxial sensing, have further enhanced stability and resolution for complex surface reconstructions.[48][4][49] NC-AFM offers key advantages, including minimal tip and sample wear due to the absence of contact, enabling prolonged imaging of delicate structures, and providing true atomic contrast from attractive interactions that reveal chemical specificity. However, it faces challenges such as high sensitivity to environmental noise, necessitating ultrahigh vacuum conditions for optimal performance, and slower scan speeds compared to contact modes due to the need for precise frequency demodulation. True NC-AFM, emphasizing FM detection in the attractive regime, differs from amplitude modulation variants, which may inadvertently enter short-range repulsive interactions with larger amplitudes, potentially compromising non-contact purity.[4]

Advanced Techniques

Force spectroscopy

Force spectroscopy in atomic force microscopy (AFM) measures the interaction forces between the AFM tip and the sample as a function of their separation distance, enabling quantitative assessment of mechanical and adhesive properties at the nanoscale. The procedure involves performing repeated approach and retraction cycles of the cantilever at a fixed lateral (x-y) position, while recording the cantilever deflection to plot force versus tip-sample separation (z). During approach, the tip moves toward the sample until contact occurs, often exhibiting an attractive regime due to van der Waals or other interatomic forces; retraction then pulls the tip away, potentially revealing adhesion through hysteresis in the curve. These force-distance curves provide insights into elasticity, adhesion, and binding events without relying on imaging modes.[50] In the contact region of the force-distance curve, where the tip indents the sample elastically, the data are analyzed by fitting to the Hertz contact model, which assumes a spherical tip and non-adhesive elastic deformation. The model describes the force-indentation relationship as:
F=43ERδ3/2 F = \frac{4}{3} E^* \sqrt{R} \, \delta^{3/2}
Here, $ F $ is the applied force, $ E^* $ is the reduced elastic modulus (incorporating the Young's moduli of both sample and tip), $ R $ is the tip radius of curvature, and $ \delta $ is the indentation depth. This fitting yields the sample's Young's modulus, a key indicator of stiffness, particularly useful for soft materials like polymers or biological tissues where values range from kilopascals to megapascals. The model's validity requires small indentations (typically <10% of sample thickness) and negligible adhesion, though extensions like the Johnson-Kendall-Roberts model account for adhesive contributions when needed.[51][50] Applications of force spectroscopy include quantifying molecular binding forces and mechanical properties of materials and biomolecules. For instance, it measures unbinding forces in ligand-receptor pairs, such as biotin-avidin interactions, which occur on the piconewton scale (e.g., 100-200 pN under physiological conditions), revealing energy landscapes of specific bonds. In materials science, Young's modulus mapping via force spectroscopy assesses elasticity variations, as in nanocomposites or thin films, establishing spatial heterogeneity in mechanical response. For biological macromolecules like proteins or DNA, the technique probes unfolding dynamics using the worm-like chain (WLC) model, which interpolates the entropic elasticity of semi-flexible polymers:
F(x)=kBTp[14(1xL)214+xL] F(x) = \frac{k_B T}{p} \left[ \frac{1}{4} \left(1 - \frac{x}{L}\right)^{-2} - \frac{1}{4} + \frac{x}{L} \right]
where $ F $ is the force, $ x $ the end-to-end extension, $ L $ the contour length, $ p $ the persistence length, $ k_B $ Boltzmann's constant, and $ T $ temperature. Fitting WLC to retraction curves from proteins like titin quantifies domain stability and folding pathways. As of 2025, advances in high-speed nanomechanical mapping have enabled quantitative assessment of dynamic properties in biological systems with improved spatial resolution and speed.[52][53][54] Variants of force spectroscopy enhance its efficiency for mapping properties over areas. Force-volume mode extends single-point measurements by acquiring force-distance curves on a grid of points, enabling 3D maps of elasticity, adhesion, and dissipation while avoiding lateral shear forces that could damage samples. PeakForce Tapping, a high-speed variant, oscillates the cantilever at low amplitudes (e.g., 100-500 Hz) to perform rapid approach-retraction cycles, allowing real-time extraction of mechanical parameters like modulus and adhesion at scan rates up to 8 lines per second, ideal for dynamic or heterogeneous samples. These techniques prioritize quantitative property extraction over topography, with interatomic forces influencing the non-contact portions of curves as detailed elsewhere.[50][55]

High-resolution atomic imaging

High-resolution atomic imaging in atomic force microscopy (AFM) relies on advanced non-contact modes, particularly frequency modulation AFM (FM-AFM) conducted in ultra-high vacuum (UHV) environments to minimize contamination and noise. In FM-AFM, the cantilever oscillates at its resonance frequency, and short-range tip-sample interactions cause detectable frequency shifts, enabling visualization of surface atomic structures with sub-angstrom precision. This technique has become the standard for true atomic resolution in vacuum, as it sensitively probes conservative and dissipative forces without physical contact, achieving lateral resolutions below 0.1 nm.[4] A pivotal advancement involves the use of functionalized tips, such as those terminated with carbon monoxide (CO), which enhance contrast for chemical identification and bond-order discrimination. By positioning the CO molecule at the tip apex, researchers can resolve intramolecular features based on Pauli repulsion and bonding interactions, distinguishing single, double, and triple carbon-carbon bonds in polycyclic aromatic hydrocarbons through variations in frequency shift images. This approach, demonstrated in 2012 by Gross et al., allows for the identification of atomic species and molecular configurations on insulating surfaces like NaCl.[56] FM-AFM with such tips has imaged complex lattices, including the reconstructed Si(111)-(7×7) surface with atomic resolution of approximately 0.6 nm laterally and 0.01 nm vertically, revealing adatom arrangements and corner holes. Similarly, the hexagonal lattice of graphene has been resolved at the atomic scale, confirming its honeycomb structure and defects like vacancies.[48][57] Frequency shift maps in these setups provide chemical contrast by mapping variations in short-range forces, enabling differentiation between atoms of distinct electronic properties, such as metal (e.g., iron) versus insulator atoms, where metallic atoms exhibit stronger attractive interactions at larger separations. For instance, spectra of frequency shifts and forces distinguish Fe from Co adatoms based on their orbital signatures. However, challenges persist, including maintaining tip apex stability to prevent reconfiguration or dulling during scanning, and mitigating drift from thermal fluctuations or piezo creep, which can shift images by several angstroms over minutes. Low-temperature operation (below 5 K) and qPlus sensors help stabilize the tip, while active feedback reduces drift effects. Recent progress includes 3D force mapping, where frequency shifts are recorded across a range of tip-sample distances to reconstruct volumetric data, revealing subsurface atomic positions. This has enabled imaging of buried atoms in materials like graphite or thin films with nanoscale depth resolution, extending visualization beyond surface layers. A landmark example is the 2009 demonstration by Custance, Pérez, and Morita of AFM-based atomic manipulation on Si(111)-(7×7), where controlled lateral forces repositioned single silicon adatoms without subsurface damage, highlighting the technique's precision for building atomic structures.[58] As of 2025, high-speed AFM techniques with flexible fitting methods have advanced real-time observation of dynamic processes at atomic resolution.

Data Acquisition and Processing

Topographic image formation

In atomic force microscopy (AFM), topographic images are generated through a raster scanning process, where the probe systematically traverses the sample surface in a two-dimensional grid. The scan proceeds along a fast axis (typically the x-direction) in a continuous back-and-forth motion, with discrete steps along the slow axis (y-direction) between each line. This pattern mimics the line-by-line acquisition of pixels in digital imaging, allowing the instrument to map surface features point by point. A feedback control system plays a central role, continuously monitoring the cantilever-sample interaction—such as deflection in contact mode or oscillation amplitude in tapping mode—and adjusting the vertical position (z) of the scanner to maintain a predefined setpoint. At each (x, y) coordinate, the required z-displacement is recorded, forming a height matrix z(x, y) that quantitatively represents the sample's topography. This matrix directly encodes the surface elevation variations, enabling the reconstruction of three-dimensional surface profiles. The collected height data is rendered into visual topographic maps, often displayed as grayscale or false-color images where color intensity or hue corresponds to height values, facilitating intuitive interpretation of surface undulations. For instance, warmer colors might denote peaks while cooler tones indicate valleys, with the scale bar providing quantitative height references. Complementary channels enhance visualization: deflection images capture the raw cantilever bending signal, revealing slope and edge contrasts beyond pure height; error images, derived from the difference between the setpoint and actual interaction, highlight feedback deviations and subtle topographic transitions. These multi-channel representations are typically generated during or immediately after data acquisition, allowing users to assess image quality in near real-time. Lateral resolution in topographic imaging is fundamentally constrained by the AFM tip geometry and operational parameters. Tip convolution arises from the finite size of the probe, which geometrically dilates sharp surface features, broadening their apparent dimensions in the image. For a spherical tip of radius $ R $ imaging a step-like feature of height $ h $ (where $ h \ll R $), the dilation effect results in an apparent width $ w $ approximated by the equation:
w=22Rh w = 2 \sqrt{2 R h}
This formula illustrates how larger tip radii exacerbate broadening, limiting the ability to resolve fine details; for example, a 10 nm radius tip might widen a 1 nm high step to approximately 8.9 nm. Scan speed further influences resolution, as faster rates can introduce dynamic artifacts like overshoot or undersampling if the feedback loop's bandwidth is exceeded, though optimized speeds balance imaging time and fidelity. Tip sharpness, often below 10 nm for standard probes, thus sets the practical lateral limit, typically achieving sub-10 nm resolution on ideal samples. Visualization of topographic data occurs in both real-time and post-processing modes. During scanning, preliminary images update progressively on the instrument's display, providing immediate feedback for adjustments like setpoint tuning or scan area refinement. Post-acquisition processing, however, refines these raw matrices through leveling, filtering, or 3D rendering software, yielding polished visualizations that better isolate true topography from scanner nonlinearities. This dual approach ensures efficient data collection while maximizing interpretive accuracy.

Image analysis and artifacts

Image analysis in atomic force microscopy (AFM) involves processing raw topographic data to extract meaningful surface features while identifying and mitigating artifacts that can distort interpretations. Artifacts arise from instrumental limitations, such as scanner nonlinearity or probe geometry, and noise from environmental or electronic sources, necessitating post-acquisition corrections to ensure reliable quantitative results.[59] Common artifacts include piezo creep, which causes nonlinear scanning distortions due to the viscoelastic response of piezoelectric actuators, leading to bowed or stretched features in images, particularly during initial scans or direction changes.[60] Tip wear results in broadening of surface features, as progressive dulling of the probe tip convolves with the sample topography, exaggerating widths and reducing lateral resolution over repeated imaging sessions.[59] Feedback oscillations, or ringing, occur when the feedback loop gain is excessively high, producing wavy patterns or stripes in the image as the scanner overcorrects height variations. Correction methods address these issues through specialized processing techniques. Line-by-line or planar flattening removes tilt and curvature from piezo creep by subtracting fitted polynomials or planes from the height data, restoring accurate sample geometry without altering local features.[61] For tip-induced broadening, blind tip reconstruction algorithms deconvolve the probe shape from the image, estimating the tip geometry from sharp sample edges and reconstructing the true surface profile, often using iterative erosion models to minimize convolution effects.[62] Noise in AFM images primarily consists of thermal noise, arising from cantilever fluctuations, with an amplitude spectral density approximated by 4kBTkωQ\sqrt{\frac{4 k_B T k}{\omega Q}}, where kBk_B is Boltzmann's constant, TT is temperature, kk is the spring constant, ω\omega is the angular frequency, and QQ is the quality factor; this limits resolution in dynamic modes.[63] Additionally, 1/f noise, or flicker noise, introduces low-frequency drifts from electronic instabilities or sample charging, manifesting as gradual baseline shifts across the scan.[64] Filtering via fast Fourier transform (FFT) mitigates these by isolating and attenuating specific frequency bands, such as removing high-frequency thermal components or low-frequency 1/f trends while preserving topographic signals.[65] Quantitative analysis of corrected images employs specialized software like Gwyddion, an open-source tool for scanning probe microscopy data that computes surface roughness parameters such as the arithmetic average roughness RaR_a (mean deviation from the centerline) and root mean square roughness RqR_q (standard deviation of heights), enabling statistical evaluation of texture over defined areas.[66] Similarly, MountainsMap provides advanced areal roughness analysis compliant with ISO standards, integrating RaR_a and RqR_q calculations with 3D visualization for profilometric data from AFM scans.[67] Validation of processed AFM images involves cross-checking with complementary techniques, such as scanning electron microscopy (SEM) for morphological confirmation, where SEM's chemical contrast verifies feature dimensions against AFM topography, or computational simulations that model expected image distortions to benchmark correction efficacy.[68][69]

Applications

Materials science and nanotechnology

Atomic force microscopy (AFM) plays a pivotal role in materials science and nanotechnology by enabling high-resolution topographic characterization of nanostructures such as nanoparticles, thin films, and graphene sheets. For nanoparticles, AFM provides precise measurements of size, shape, and distribution on substrates, often revealing surface features down to the sub-nanometer scale that are critical for optimizing their integration into composite materials.[70] In thin films, AFM topographic imaging assesses uniformity, roughness, and layer thickness, which are essential for applications in coatings and semiconductors, with typical resolutions achieving angstrom-level accuracy.[71] For graphene, AFM identifies defects like vacancies, grain boundaries, and wrinkles, which influence electrical and mechanical properties; for instance, studies have shown that defect densities can be mapped to correlate with reduced carrier mobility in graphene devices.[72] Beyond topography, AFM-derived techniques probe material properties at the nanoscale, particularly in tribology and electrical conductivity. Friction force microscopy (FFM), a lateral force variant of AFM, quantifies frictional forces between the tip and sample surface, providing insights into nanotribology of materials like thin films and nanoparticles; seminal work demonstrated atomic-scale friction variations on layered materials such as graphite, establishing FFM as a tool for studying wear and lubrication mechanisms in engineering surfaces.[73] Conducting AFM (c-AFM) measures local electrical conductivity by applying a bias voltage between a conductive tip and the sample, mapping variations in nanomaterials like graphene and carbon nanotubes; this has revealed conductive pathways in graphene with spatial resolution below 10 nm, aiding the design of nanoelectronics.[74] AFM also facilitates direct manipulation and patterning in nanotechnology, enabling precise control over nanostructures. Dip-pen nanolithography (DPN), where an AFM tip acts as a "pen" to deposit molecular "inks" onto substrates, allows creation of patterns with features down to approximately 15 nm, applied to fabricate nanoparticle arrays and functional thin films for sensors and devices.[75][76] Additionally, AFM tips can push and position individual nanoparticles or atoms on surfaces, as demonstrated in controlled relocation of gold nanoparticles with nanometer precision, which supports assembly of hybrid nanostructures for plasmonics. Examples include AFM-assisted alignment of carbon nanotubes, where tip-induced forces orient bundles for improved electrical connectivity in composites, and sizing of quantum dots, revealing size distributions that determine their optical emission properties.[77][78] Recent advancements highlight AFM's role in verifying the quality of 2D materials produced via mechanical exfoliation. For molybdenum disulfide (MoS2), AFM confirms monolayer thickness and assesses exfoliation uniformity by measuring step heights of approximately 0.7 nm, ensuring defect-free sheets for transistor applications; this verification has been crucial in scaling up production of large-area 2D crystals.[79]

Biological and biomedical uses

Atomic force microscopy (AFM) has become a vital tool in biology and biomedicine for visualizing and manipulating structures at the molecular and cellular levels in their native, hydrated environments. Operating in liquid media, AFM enables non-destructive imaging of dynamic biological processes, such as protein conformational changes and cellular interactions, without the need for labeling or vacuum conditions that could alter sample integrity.[80] This capability is particularly valuable for studying soft, fragile biomolecules that maintain their physiological hydration shells, contrasting with drier imaging techniques.[81] In biological imaging, AFM excels at resolving protein structures like DNA origami nanostructures in liquid environments, where it captures three-dimensional topologies with sub-nanometer precision. For instance, DNA origami fiducials have been used to correct tip artifacts and achieve accurate 3D reconstructions of these self-assembled scaffolds under buffer conditions.[82] Similarly, AFM in liquid mode images intact cells, revealing surface topographies, membrane features, and cytoskeletal elements in real-time, preserving their native state and functionality.[83] Force spectroscopy, a key AFM mode, measures mechanical forces at the single-molecule scale to probe biological interactions. In protein unfolding experiments, AFM applies controlled tensile forces, producing characteristic sawtooth patterns in force-extension curves that correspond to sequential domain unravels, providing insights into folding energy landscapes and mechanical stability.[84] For cell adhesion, AFM quantifies binding forces between cells or cell-matrix components, such as integrins, revealing how mechanical cues influence migration and signaling in tissues.[83] Notable examples include AFM studies of amyloid fibrils, where it visualizes fibril assembly, polymorphism, and mechanical properties at the nanoscale, aiding understanding of neurodegenerative diseases like Alzheimer's.[85] Membrane proteins, embedded in lipid bilayers, have been imaged and unfolded in situ using AFM, exposing transmembrane topologies and interaction sites critical for drug targeting.[86] High-speed AFM, pioneered by Toshio Ando in the 2010s, captures these dynamics at video rates, filming processes like myosin walking on actin or bacteriorhodopsin conformational shifts in physiological solutions.[87] Challenges in biological AFM include managing hydration layers around samples, which can introduce repulsive forces and blur resolution, necessitating optimized liquid setups to minimize artifacts.[88] Thermal drift in liquids also distorts images over time, addressed through automated correction algorithms that align frames based on morphological features.[89] To enhance specificity, tips are functionalized with biomolecules like antibodies or ligands, enabling targeted recognition of cellular receptors while preserving imaging fidelity.[90] In biomedical applications, AFM characterizes drug delivery nanoparticles by mapping their surface topography, elasticity, and ligand distribution in liquid, ensuring stability and targeting efficiency for therapies like cancer treatment.[91] It also assesses tissue mechanics, quantifying stiffness variations in extracellular matrices to correlate biomechanical properties with disease progression, such as fibrosis or tumor invasion.[92]

Other interdisciplinary applications

In chemistry, atomic force microscopy (AFM) enables the detection and localization of single molecular recognition events by measuring specific binding forces between ligand-receptor pairs on self-assembled monolayers (SAMs). This approach has revealed unbinding forces on the order of 20–100 pN for interactions such as biotin-streptavidin, providing insights into molecular affinity and specificity at the nanoscale.[93] AFM imaging of SAMs, such as alkanethiol films on gold, has also characterized defect densities and phase segregation, with defect coverage typically below 5% in well-ordered monolayers, aiding the design of functional surfaces for sensors and coatings.[94] In physics, magnetic force microscopy (MFM), a derivative of AFM, visualizes magnetic domains in ferromagnetic materials by detecting stray magnetic fields from the tip, achieving resolutions down to 10–50 nm. MFM has mapped domain walls in thin films of materials like Co/Pt multilayers, revealing stripe patterns with widths of 100–200 nm influenced by film thickness and anisotropy.[95] Similarly, scanning thermal microscopy (SThM), integrated with AFM, probes local thermal properties by sensing temperature-dependent resistance changes in the tip, enabling nanoscale mapping of thermal conductivity in heterogeneous structures. For instance, SThM has quantified thermal conductivities varying from 0.1 to 10 W/m·K across polymer composites, highlighting interfaces as thermal bottlenecks.[96] In environmental science, AFM facilitates in situ observation of polymer degradation processes, such as the hydrolysis of poly(ε-caprolactone) films in aqueous media, where pit formation and surface roughening progress at rates of 1–10 nm/day under neutral conditions. This reveals degradation mechanisms like chain scission at hydrophilic domains, informing the environmental persistence of plastics.[97] AFM also characterizes soil nanoparticles, including natural clays and anthropogenic metal oxides, by measuring size distributions (typically 10–100 nm) and surface topography, which influence sorption behaviors and pollutant mobility in soils. Such analyses show irregular morphologies with root-mean-square roughness of 5–20 nm, correlating with enhanced reactivity toward contaminants like heavy metals.[98] Beyond these fields, AFM supports forensic trace analysis by quantifying adhesion forces of explosive particles, such as RDX, to surfaces, with pull-off forces ranging from 10–50 nN depending on substrate wettability, aiding in residue transfer modeling.[99] In art conservation, AFM maps pigment distributions in historical paints, identifying nanoscale binder-pigment interactions in oil paintings, where lead white particles (50–200 nm) exhibit distinct mechanical moduli of 1–5 GPa compared to organic matrices.[100] An emerging interdisciplinary application integrates AFM with tip-enhanced Raman spectroscopy (TERS), where the AFM tip amplifies Raman signals by factors up to 10^4–10^6, enabling chemical mapping at 1–10 nm resolution. TERS-AFM has identified molecular vibrations in SAMs and pigments, such as distinguishing phthalocyanine aggregates in artworks through characteristic peaks at 1300–1600 cm⁻¹, combining topography with spectroscopic identification for non-destructive analysis.[101]

Advantages and Limitations

Key advantages

One of the primary strengths of atomic force microscopy (AFM) is its versatility, enabling imaging and analysis of a wide range of samples regardless of conductivity, in diverse environments such as air, vacuum, or liquid. Unlike electron microscopy techniques that require conductive samples or high vacuum, AFM operates effectively on both conductive and non-conductive materials without such constraints.[102][103] This adaptability extends to biological specimens in their native aqueous environments, facilitating studies under physiologically relevant conditions.[104] AFM achieves high lateral resolution down to the atomic scale, often without the need for vacuum or sample labeling, providing detailed surface information that surpasses the limitations of optical methods. In ultra-high vacuum or liquid settings, resolutions approaching 0.1 nm have been demonstrated, allowing visualization of individual atoms or molecules on various substrates.[43] This capability stems from the probe's direct interaction with the sample surface, independent of electromagnetic radiation.[105] The technique's multifunctionality allows simultaneous acquisition of topographic data alongside mechanical, electrical, or other properties, enhancing its utility in comprehensive material characterization. For instance, conductive AFM tips can map surface topography while probing local conductivity or mechanical stiffness in a single scan.[106][107] This integrated approach provides multidimensional insights without requiring multiple instruments. AFM is inherently non-destructive, enabling real-time imaging of dynamic processes, and is generally more cost-effective than transmission electron microscopy (TEM) due to lower equipment and operational costs, absence of vacuum requirements, and minimal sample preparation.[108][104] High-speed variants further support in situ observations of surface evolution.[109] Quantitatively, AFM excels in measuring interaction forces, elastic moduli, and viscoelastic properties at the nanoscale through force spectroscopy and nanoindentation modes, yielding precise values such as Young's modulus for soft materials like cells or polymers.[110][111] These measurements, often calibrated against known standards, offer reliable mechanical characterization essential for nanotechnology and biomedicine.[112]

Principal disadvantages

One major limitation of atomic force microscopy (AFM) arises from artifacts introduced during imaging, particularly tip-induced damage and convolution effects. In contact and tapping modes, the probe tip can deform or damage soft samples, such as biological membranes or polymers, leading to inaccurate height measurements and altered surface morphology. For instance, excessive force application may displace lipid vesicles or cause wear on delicate nanostructures, resulting in spurious features in the topography. Additionally, the finite size and shape of the AFM tip cause convolution effects, where the imaged feature is broadened by the tip geometry, reducing lateral resolution to approximately the tip radius (typically 5–20 nm) and distorting sharp edges or narrow trenches. These artifacts are prevalent in high-resolution imaging and require careful interpretation, as detailed in image analysis techniques. The scanning speed of conventional AFM represents another significant drawback, often requiring several minutes to acquire a single image due to the mechanical constraints of the piezoelectric scanner and feedback loop. Typical scan rates are limited to 0.1–2 μm/s for atomic resolution, particularly in vacuum or liquid environments, where hydrodynamic damping further slows the process. This sluggish pace hinders real-time observation of dynamic processes, such as protein conformational changes or material phase transitions, although high-speed variants can achieve 10–20 frames per second over small areas (e.g., 240 × 120 nm). AFM is inherently restricted to surface characterization of small, flat samples, typically scanning areas up to 100–150 μm × 100–150 μm, with sample stages supporting dimensions up to 150–200 mm in diameter and heights up to 15–20 mm, depending on the system. It cannot probe internal structures or volumes, limiting its use to external topography and precluding applications like subsurface defect analysis common in techniques such as X-ray tomography. Moreover, samples must be mounted on flat, stable substrates to minimize tilt or curvature, which complicates preparation for irregular or macroscopic objects. Environmental factors pose substantial challenges for AFM operation, as the instrument is highly sensitive to external vibrations and temperature fluctuations. Even minor acoustic noise or building vibrations (e.g., from footsteps or HVAC systems) can introduce drift or noise in the cantilever deflection signal, degrading image quality and resolution. Temperature variations, as small as 0.1°C, affect the thermal expansion of the scanner and sample, causing positional inaccuracies up to several nanometers over extended scans. Quantitative measurements in AFM suffer from calibration variability, which undermines reproducibility and accuracy across instruments and users. Cantilever spring constants and sensitivity factors often deviate by factors of up to two from manufacturer specifications due to manufacturing inconsistencies and environmental influences, necessitating individual calibration via methods like thermal noise analysis. This variability affects force spectroscopy and mechanical property mapping, where errors in inverse optical lever sensitivity (InvOLS) can lead to 20–50% inaccuracies in modulus or adhesion values.

Comparisons with Other Techniques

Relation to scanning probe microscopies

Atomic force microscopy (AFM) belongs to the broader family of scanning probe microscopies (SPM), which achieve nanoscale resolution through raster scanning of a sharp probe across a sample surface while employing feedback loops to maintain a precise interaction distance or force.[113] These techniques typically resolve features down to the nanometer scale or better, relying on local probe-sample interactions rather than far-field optics or beams.[3] AFM exemplifies this approach by using a flexible cantilever with a tip to detect surface topography via mechanical deflections.[1] A primary distinction within SPM lies between AFM and scanning tunneling microscopy (STM), the inaugural technique in the family.[113] STM measures quantum tunneling currents between a conductive tip and sample, limiting its application to electrically conducting or semiconducting materials under vacuum conditions.[114] In contrast, AFM senses short-range repulsive or long-range attractive forces, such as van der Waals interactions, enabling imaging of non-conductive samples like insulators, polymers, and biological specimens without requiring electrical conductivity.[115] This mechanical detection principle allows AFM to operate in ambient air, liquids, or even physiological environments, broadening SPM's utility beyond STM's constraints.[2] Hybrids of AFM extend its capabilities by incorporating additional SPM modalities, such as conductive AFM (c-AFM), which combines topographic mapping with local electrical measurements.[116] In c-AFM, a conductive tip applies a bias voltage to the sample, enabling simultaneous acquisition of current maps and height profiles to study charge transport in thin films or nanostructures on insulating substrates.[117] This mode bridges AFM's mechanical sensitivity with STM-like electrical probing, facilitating analysis of device heterostructures where conductivity varies spatially.[118] AFM's development marked a pivotal evolution in SPM, addressing STM's sample limitations by enabling high-resolution imaging of insulators and operation in liquid media for dynamic processes like biomolecular interactions.[1] Introduced in 1986, it expanded the technique's scope to diverse materials and environments previously inaccessible to electron-based probes.[105] Beyond AFM and STM, the SPM family includes specialized variants like scanning near-field optical microscopy (SNOM), which integrates a probe with optical illumination to achieve sub-diffraction-limited resolution by exploiting evanescent fields near the sample surface.[119] Similarly, magnetic force microscopy (MFM) employs a magnetized AFM tip to detect stray magnetic fields, mapping domain structures in ferromagnetic materials with nanoscale precision.[120] These techniques underscore SPM's versatility in probing mechanical, electrical, optical, and magnetic properties through tailored tip-sample interactions.[121]

Differences from electron and optical microscopies

Atomic force microscopy (AFM) differs fundamentally from scanning electron microscopy (SEM) and transmission electron microscopy (TEM) in its operational principles and requirements. Unlike SEM and TEM, which rely on electron beams accelerated in a high-vacuum environment to image surfaces or internal structures, AFM uses a mechanical probe to raster-scan the sample surface, enabling operation in ambient air, liquids, or controlled gaseous atmospheres without the need for vacuum systems. This environmental flexibility allows AFM to image samples in near-native conditions, such as hydrated biological specimens, whereas SEM and TEM necessitate dehydration, conductive coating for non-conductive samples in SEM, or ultrathin sectioning (often <100 nm) for TEM, which can introduce artifacts or alter sample integrity. A key advantage of AFM over electron microscopies is its independence from sample conductivity and labeling; it measures nanoscale forces between the probe tip and surface atoms, providing true three-dimensional topographic data with vertical resolution down to 0.1 nm and lateral resolution approaching 0.1 nm under optimal conditions. In contrast, SEM offers surface morphology imaging with resolutions typically 1–10 nm but provides only a pseudo-3D appearance from secondary electron signals, while TEM achieves sub-angstrom resolution for internal structures but requires electron-transparent samples and cannot directly yield surface topography. However, electron microscopies excel in speed and field of view: SEM and TEM use parallel electron beams to image larger areas (up to micrometers) rapidly, whereas AFM's serial point-by-point scanning limits it to smaller scan areas (often 100 nm to 100 μm) and longer acquisition times, making it slower for broad surveys. AFM lacks the elemental analysis capabilities inherent to SEM when coupled with energy-dispersive X-ray spectroscopy (EDS), which identifies chemical composition by detecting characteristic X-rays from the sample; TEM can similarly integrate with electron energy loss spectroscopy (EELS) for elemental mapping. These analytical features make electron microscopies preferable for compositional studies, while AFM focuses on mechanical, frictional, and magnetic properties at the nanoscale. Despite these limitations, AFM and electron microscopies are often used complementarily in correlative approaches, such as overlaying AFM topography with SEM images to combine surface height data with high-resolution morphological and chemical details. Compared to optical microscopy, AFM circumvents the diffraction limit of visible light, which restricts resolution to approximately 200 nm, by directly probing surface contours rather than relying on photon scattering or absorption. This enables AFM to resolve features down to the atomic scale, providing quantitative height profiles and 3D reconstructions that optical methods, even super-resolution variants like STED or PALM, struggle to match for topographic accuracy without additional fluorescence labeling. Optical microscopy, however, offers advantages in speed, larger fields of view (from micrometers to millimeters), and multicolor imaging for labeling-based identification of cellular components or molecular species, features absent in AFM's monochromatic topographic outputs. The trade-offs in resolution stem from AFM's single-probe serial scanning versus the parallel illumination in optical systems, which allows rapid, wide-area imaging but at the cost of depth information and sub-diffraction precision. While optical microscopy operates in ambient conditions similar to AFM, it cannot measure mechanical properties like stiffness or adhesion directly, whereas AFM modes such as force spectroscopy provide such data. Correlative optical-AFM setups enhance this by integrating fluorescence or phase-contrast optical images with AFM topography, enabling multimodal analysis of dynamic processes in live samples.

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