Learning dynamic image representations for self-supervised cell cycle annotation
K. Ulicna, M. Kelkar, C. J. Soelistyo, G. Charras, A. R. Lowe
This paper introduces a self-supervised framework using image autoencoders and dynamic time series analysis to annotate cell cycle phases in single-cell trajectories.
bioRxiv · May 30, 2023 · PreprintCell Biology