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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...
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Related Experiment Video

Updated: Oct 21, 2025

Fabrication and Implementation of a Reference-Free Traction Force Microscopy Platform
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Fabrication and Implementation of a Reference-Free Traction Force Microscopy Platform

Published on: October 6, 2019

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High-Resolution, Highly-Integrated Traction Force Microscopy Software.

Nikhil Mittal1, Sangyoon J Han1,2

  • 1Department of Biomedical Engineering, Michigan Technological University, Houghton, Michigan.

Current Protocols
|September 7, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a user-friendly MATLAB software for Traction Force Microscopy (TFM), simplifying cellular force measurement. It guides users in selecting optimal parameters for accurate analysis of cell-extracellular matrix interactions.

Keywords:
L1-regularizationL2-regularizationfast boundary element method (FastBEM)focal adhesions (FAs)particle tracking velocimetrytraction force microscopy (TFM)

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Area of Science:

  • Cellular and Molecular Biophysics
  • Biotechnology and Bioengineering

Background:

  • Accurate measurement of cellular traction force is crucial for understanding cell-extracellular matrix interactions.
  • Traction Force Microscopy (TFM) is a key technique, but user-friendly software and parameter selection remain challenging.

Purpose of the Study:

  • To provide a step-by-step guide for a MATLAB-based TFM software.
  • To clarify software parameters and guide optimal sub-method and parameter value selection for diverse image characteristics and analysis goals.

Main Methods:

  • Developed a MATLAB TFM software package with multiple image deformation quantification and force reconstruction methods.
  • Included protocols for software setup, execution, stage drift correction, and force field calculation.
  • Compared colocalization accuracies of three force reconstruction methods (Fast BEM L1, Fast BEM L2, FTTC) against a paxillin-GFP reference.

Main Results:

  • The software offers user-friendly instructions for TFM analysis.
  • Runtime analysis showed FTTC (0.05 min) and Fast BEM L2 (4 min) are faster than Fast BEM L1 (20 min) for force reconstruction, excluding particle tracking.
  • Colocalization accuracies varied among the three force reconstruction methods.

Conclusions:

  • The provided MATLAB TFM software facilitates accurate cellular force measurement.
  • Guidance on parameter selection enhances the reliability and applicability of TFM analyses.
  • The study aids researchers in choosing appropriate methods for their specific cell mechanics research needs.