Communications Biology (Apr 2022)

Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images

  • Honghan Li,
  • Daiki Matsunaga,
  • Tsubasa S. Matsui,
  • Hiroki Aosaki,
  • Genki Kinoshita,
  • Koki Inoue,
  • Amin Doostmohammadi,
  • Shinji Deguchi

DOI
https://doi.org/10.1038/s42003-022-03288-x
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 9

Abstract

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A deep learning approach, termed wrinkle force microscopy, allows for conducting traction force microscopy by observing bright-field cell images but without using its conventional requirements such as fluorescent microbeads and confocal microscopy.