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Related Concept Videos

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Related Experiment Video

Updated: Jan 10, 2026

Single Cell Durotaxis Assay for Assessing Mechanical Control of Cellular Movement and Related Signaling Events
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Deep learning reveals how cells pull, buckle, and navigate fibrous environments.

Abinash Padhi1, Arka Daw2, Atharva Agashe1

  • 1Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061.

Proceedings of the National Academy of Sciences of the United States of America
|November 21, 2025
PubMed
Summary

Cell force directionality, not stiffness, controls cell contractility in fibrous tissues. New deep learning methods reveal how cells generate forces and predict stem cell fate, impacting cancer and tissue engineering.

Keywords:
cell-fiber interactionsfocal adhesionsmachine learningmechanobiologytraction force microscopy

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Area of Science:

  • Cellular mechanics
  • Biophysics
  • Tissue engineering

Background:

  • Cells navigate fibrous environments differently than flat substrates.
  • The interplay of fiber architecture and stiffness in cell force generation is poorly understood.

Purpose of the Study:

  • To investigate how cell forces are established in physiological fibrous settings.
  • To understand the role of fiber architecture versus stiffness in regulating cell contractility.

Main Methods:

  • Developed deep learning-enabled live-cell fiber-force microscopy (DLFM) to map cell forces in real time.
  • Combined phase microscopy with deep learning for force mapping.

Main Results:

  • In fibrous environments, force directionality overrides ECM stiffness in regulating cell contractility.
  • Cell contractility drops when transitioning between anisotropic and isotropic stress fields, even with stiffer ECM.
  • Cells form force-generating adhesions throughout their bodies in fibrous matrices, unlike peripheral adhesions on flat substrates.
  • Distinct cell force signatures during migration, division, and differentiation can predict stem cell fate.

Conclusions:

  • Tension anisotropy is a master regulator of cell behavior in fibrous environments.
  • DLFM provides novel insights into cell mechanics within complex fibrous tissues.
  • Findings have implications for understanding cancer invasion, tissue engineering, and regenerative medicine.