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Atomic Force Microscopy

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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Related Experiment Video

Updated: Aug 8, 2025

Atomic Force Microscopy Imaging and Force Spectroscopy of Supported Lipid Bilayers

Atomic Force Microscopy Imaging and Force Spectroscopy of Supported Lipid Bilayers

Published on: July 22, 2015

BioAFMviewer software for simulation atomic force microscopy of molecular structures and conformational dynamics.

Romain Amyot¹, Noriyuki Kodera¹, Holger Flechsig¹

¹Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa 920-1192, Japan.

Journal of Structural Biology: X

|March 3, 2023

Summary

Atomic force microscopy (AFM) enables real-time biomolecular observation. Computational analysis and simulation, like BioAFMviewer, enhance AFM data interpretation and reveal 3D atomistic structures for deeper molecular insights.

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Area of Science:

Biophysics
Computational Biology
Microscopy

Background:

Atomic force microscopy (AFM) and high-speed scanning allow real-time observation of biomolecular dynamics.
Interpreting resolution-limited AFM images often requires advanced computational analysis.
Simulating AFM experiments computationally can infer underlying 3D atomistic structures from topographic data.

Purpose of the Study:

To illustrate the capabilities of the BioAFMviewer software for AFM simulations.
To emphasize the role of simulation AFM in complementing experimental observations.
To demonstrate how BioAFMviewer advances molecular understanding beyond topographic imaging.

Main Methods:

Utilizing data-driven simulation to computationally emulate AFM experimental scanning.
Employing automatized fitting to infer 3D atomistic structures from AFM topographies.
Showcasing the BioAFMviewer software with interactive, user-friendly simulation capabilities.

Main Results:

BioAFMviewer provides an established, user-friendly interface for AFM simulations.
Applications demonstrate BioAFMviewer's ability to yield full atomistic information.
Simulation AFM enhances understanding of measured AFM topographies.

Conclusions:

Computational analysis and simulation are crucial for interpreting AFM measurements.
BioAFMviewer is a valuable tool for the Bio-AFM community, advancing molecular insights.
Simulation AFM complements experimental data, providing a more comprehensive understanding of biomolecular dynamics.