Deep learning-enhanced morphological profiling predicts cell fate dynamics in real-time in hPSCs
E. Ren, S. Kim, S. Mohamad, S. F. Huguet, Y. Shi, A. R. Cohen, E. Piddini, R. E. Carazo Salas
DEEP-MAP uses deep learning and multi-day microscopy data to predict cell fate dynamics in hPSCs without cell state reporters.
bioRxiv · Jul 31, 2021 · PreprintCell Biology