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Fabrication and Implementation of a Reference-Free Traction Force Microscopy Platform
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Epifluorescence-based three-dimensional traction force microscopy.

Lauren Hazlett1,2, Alexander K Landauer3,4, Mohak Patel5

  • 1Center for Biomedical Engineering, Brown University, Providence, 02912, USA. lauren_hazlett@alumni.brown.edu.

Scientific Reports
|October 7, 2020
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Summary
This summary is machine-generated.

This study presents a new, accessible method for calculating 3D cell displacements and forces using standard microscopy. The technique reconstructs 3D motion from images, enabling detailed analysis of cellular traction forces.

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Area of Science:

  • Biophysics
  • Cellular Mechanics
  • Microscopy Techniques

Background:

  • Standard epifluorescence microscopy is limited for 3D traction force microscopy (TFM) due to resolution and out-of-plane motion measurement challenges.
  • Understanding cell behavior requires quantifying both in-plane and out-of-plane forces, which are often neglected in 2D TFM.
  • Previous methods lacked the ability to capture high-resolution 3D displacements and tractions from epifluorescence images.

Purpose of the Study:

  • To develop and validate a novel method for computing 3D displacements and tractions from standard epifluorescence microscopy.
  • To overcome the limitations of epifluorescence microscopy in 3D traction force measurements.
  • To provide an accessible, open-source tool for 3D traction force microscopy.

Main Methods:

  • Employed a topology-based single particle tracking algorithm to reconstruct 3D motion fields from densely seeded particle images.
  • Utilized an open-source finite element (FE) based solver to compute 3D stress, strain, and surface traction fields.
  • Applied the method to measure tractions generated by human neutrophils and Madin-Darby canine kidney cell monolayers.

Main Results:

  • Successfully reconstructed high spatial-frequency 3D displacement fields from epifluorescence images.
  • Quantified both in-plane and out-of-plane tractions generated by single cells and multicellular layers.
  • Demonstrated the technique's ability to accurately capture individual and collective cellular traction forces.

Conclusions:

  • Introduced a novel, easily accessible method for 3D traction force microscopy using standard epifluorescence microscopy.
  • The developed technique enables high spatial-frequency measurement of 3D displacements and surface tractions.
  • The complete method is available as a free and open-source code package for broader scientific use.