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Related Concept Videos

Atomic Force Microscopy01:08

Atomic Force Microscopy

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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...
3.3K

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Related Experiment Video

Updated: May 29, 2025

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy
08:41

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

Published on: June 27, 2013

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CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic

Antoine Allard1,2, Maxime Liboz3, Raphaël Crépin3

  • 1LAMBE, CNRS, Université Paris-Saclay, Univ Evry, CY Cergy Paris Université, 91025, Evry-Courcouronnes, France. antoine.allard@u-bordeaux.fr.

BMC Bioinformatics
|February 5, 2025
PubMed
Summary

CellMAP software enables batch processing of atomic force microscopy (AFM) data for living cells. This tool analyzes topography and stiffness from multiple cells, creating a composite dataset for population-level insights.

Keywords:
Atomic force microscopyBatch processingCell mechanicsGraphical user interfaceMATLABTopography

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Area of Science:

  • Biophysics
  • Cell Biology
  • Materials Science

Background:

  • Atomic force microscopy (AFM) is crucial for analyzing living cell morphology and viscoelasticity.
  • Current software often analyzes individual cells, limiting large-scale data compilation.
  • A need exists for efficient tools to process multiple AFM datasets simultaneously.

Purpose of the Study:

  • To introduce CellMAP, a user-friendly software for batch-processing AFM data from living cells.
  • To streamline the analysis of topography and stiffness maps from numerous cells.
  • To facilitate the creation of a composite cell model representing population-level properties.

Main Methods:

  • Development of CellMAP software for automated data analysis.
  • Implementation of an analysis pipeline including substrate flattening and outlier filtering.
  • Measurement of cell surface, volume, height, and stiffness distributions.
  • Generation of a composite cell reflecting population-wide height and stiffness.

Main Results:

  • CellMAP successfully streamlines batch processing of AFM topography and stiffness data.
  • The software enables comprehensive analysis of multiple living cells.
  • A composite cell representation is generated, summarizing population characteristics.

Conclusions:

  • CellMAP provides an accessible solution for analyzing large datasets of living cell AFM data.
  • The software enhances the ability to study cell population heterogeneity in morphology and mechanics.
  • CellMAP facilitates advanced research in cell biophysics and material properties.