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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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Updated: Jun 17, 2025

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

Published on: December 2, 2022

PyFMLab: Open-source software for atomic force microscopy microrheology data analysis.

Javier López-Alonso¹, Mar Eroles², Sébastien Janel¹

¹Universite de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CILL-Center of Infection and Immunity of Lille, Lille, F-59000, France.

Open Research Europe

|August 9, 2024

Summary

This summary is machine-generated.

A new open-source software, PyFMLab, analyzes atomic force microscopy (AFM) data for mechanical properties. It standardizes characterization of biological samples from force-distance curves and microrheology measurements.

Keywords:

Biological Samples Elasticity Viscoelasticity Young’s modulus cell mechanics force spectroscopy soft matter tissue mechanics

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Area of Science:

* Biophysics
* Materials Science
* Nanotechnology

Background:

* Atomic force microscopy (AFM) is crucial for nanoscale mechanical characterization of biological samples and biomaterials.
* Standardization of AFM data analysis is a significant challenge in the field.
* Current open-source tools often lack support for microrheology data analysis.

Purpose of the Study:

* To develop an open-source software package, PyFMLab, for analyzing AFM data.
* To enable the determination of viscoelastic properties from both force-distance curves and microrheology measurements.
* To provide a versatile and standardized solution for AFM data processing.

Main Methods:

* Developed PyFMLab using Python for accessibility and computational efficiency.
* Organized software into modular libraries for improved readability, maintainability, and reusability.
* Validated PyFMLab using AFM datasets from HeLa cells, including force curves and oscillatory measurements.

Main Results:

* PyFMLab successfully determined viscoelastic parameters from AFM datasets.
* Results obtained using PyFMLab were validated against proprietary software and existing MATLAB routines.
* Achieved equivalent results to established methods, confirming software accuracy.

Conclusions:

* PyFMLab offers an open-source solution for standardized viscoelastic characterization.
* The software enhances the analysis of biological samples using AFM.
* Its versatility supports both conventional force-distance curves and advanced microrheology measurements.