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Inferring cellular forces from image stacks.

Jim H Veldhuis1, Ahmad Ehsandar1, Jean-Léon Maître2

  • 1Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|March 29, 2017
PubMed
Summary

Measuring 3D cellular forces is now possible with CellFIT-3D. This new technique maps cellular tension in three dimensions, advancing our understanding of embryogenesis and disease.

Keywords:
CellFITCellFIT-3Dcell mechanicsforce inferenceinterfacial tensionsvideo force microscopy (VFM)

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Area of Science:

  • Cellular and Molecular Mechanics
  • Biophysics
  • Developmental Biology

Background:

  • Cellular forces are crucial in embryogenesis and disease, but 3D measurement is difficult.
  • Existing techniques face challenges in accurately quantifying forces in complex 3D cellular systems.

Purpose of the Study:

  • Introduce CellFIT-3D, a novel technique for estimating tension maps in 3D cellular systems.
  • Enable precise measurement of cellular forces in three dimensions using image stacks.

Main Methods:

  • CellFIT-3D utilizes image processing to segment cells and calculate dihedral angles at triple junctions.
  • Force-balance equations are constructed and solved based on these angles to infer tension maps.
  • The method incorporates error estimation for indistinct triple junctions.

Main Results:

  • CellFIT-3D achieved low tension errors (1.6-7%) on synthetic data.
  • Analysis of murine embryos showed estimated errors below 10%, comparable to aspiration experiments.
  • The technique demonstrates robustness with both clean and noisy data.

Conclusions:

  • CellFIT-3D provides a reliable method for quantifying 3D cellular forces and tension.
  • This technique has broad applications in developmental biology, cancer research, and tissue engineering.
  • Accurate 3D force measurement is essential for understanding complex biological processes.