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

ABSTRACT: Combining experiments with artificial intelligence algorithms, we propose a machine learning based approach called wrinkle force microscopy (WFM) to extract the cellular force distributions from the microscope images. The full process can be divided into three steps. First, we culture the cells on a special substrate allowing to measure both the cellular traction force on the substrate and the corresponding substrate wrinkles simultaneously. The cellular forces are obtained using the traction force microscopy (TFM), at the same time that cell-generated contractile forces wrinkle their underlying substrate. Second, the wrinkle positions are extracted from the microscope images. Third, we train the machine learning system with GAN (generative adversarial network) by using sets of correspondi

SUBMITTER: Li H 

PROVIDER: S-EPMC9010416 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature