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Related Concept Videos

Atomic Force Microscopy01:08

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...

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Updated: May 18, 2026

Force Spectroscopy of Single Protein Molecules Using an Atomic Force Microscope
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Force Spectroscopy of Single Protein Molecules Using an Atomic Force Microscope

Published on: February 28, 2019

Stochastic noise in atomic force microscopy.

Aleksander Labuda1, Martin Lysy, William Paul

  • 1Department of Physics, McGill University, Montreal, Quebec, Canada H3A 2T8.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 4, 2012
PubMed
Summary
This summary is machine-generated.

Understanding noise in atomic force microscopy (AFM) is crucial for accurate data interpretation and experimental optimization. This study introduces power spectral density (PSD) for noise analysis, enabling better simulation of cantilever dynamics and friction measurements.

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Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid
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Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid

Published on: December 20, 2016

Area of Science:

  • Surface science
  • Nanotechnology
  • Metrology

Background:

  • Atomic Force Microscopy (AFM) operates at fundamental signal-to-noise limits.
  • Accurate noise characterization is vital for data interpretation, experimental design, and instrumentation advancement.
  • Stochastic noise can significantly influence cantilever dynamics and experimental outcomes in AFM.

Purpose of the Study:

  • To introduce Power Spectral Density (PSD) for comprehensive noise analysis in AFM.
  • To detail methods for integrating PSDs for accurate measurement statistics.
  • To present a simulation method for stochastic Gaussian noise from arbitrary PSDs.

Main Methods:

  • Noise analysis of the AFM light source using PSD.
  • Statistical properties of stationary, nonstationary, and deterministic noise sources.
  • Integration of PSDs for standard deviation calculation.
  • Simulation of stochastic Gaussian noise from arbitrary PSDs.

Main Results:

  • Mechanical vibrations in AFM can lead to logarithmic velocity dependence of friction.
  • Multiple slip events in atomic stick-slip processes are induced by vibrations.
  • Artifactual temperature dependence of friction measurements can be predicted.

Conclusions:

  • Effective noise analysis using PSD enhances AFM data reliability.
  • Accurate noise modeling is essential for understanding friction and other nanoscale phenomena.
  • This work provides tools for improved AFM experimental design and data interpretation.