Published December 28, 2023 | Version v1
Software Open

Code accompanying "Machine learning interpretable models of cell mechanics from protein images"

  • 1. ROR icon University of Chicago

Description

Code accompanying the paper "Machine learning interpretable models of cell mechanics from protein images." The code is organized into three separate zip files containing the following:

  • Traction force prediction with a U-Net (github)
  • Physical bottleneck neural network (github)
  • Green's function neural network (github)

An up-to-date version of the code for each of these can be found at the respective github links above.

Files

cell_force_gfnn-master.zip

Files (41.1 MB)

Name Size Download all
md5:9e40fbf0ed41a2c4e7fc2429461ca261
2.9 MB Preview Download
md5:106f4f8c200a2764531ff61dba422510
35.7 MB Preview Download
md5:aa1c5810432f36231b292ecb488bdf8c
2.5 MB Preview Download