Enhancing Robustness, Precision and Speed of Traction Force Microscopy with Machine Learning
F. S. Kratz, L. Moellerherm, J. Kierfeld
This paper introduces a deep convolutional neural network to improve the robustness, precision, and speed of traction force microscopy by solving an inverse elastic problem more efficiently than traditional methods.
bioRxiv · Sep 2, 2022Biophysics