Cell Morphology and Biophysical Mechanisms-Informed Traction Force Microscopy Using Machine Learning
Koki Fujiwara, Ryosuke Fujikawa, Yukihiro Suzuki, Kenta T. Suzuki, Yuichi Sakumura
The paper introduces a machine learning model for traction force microscopy that improves accuracy under sparse observation conditions by incorporating cell morphology and biophysical mechanisms.
bioRxiv · May 21, 2025 · PreprintBiophysics