Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data

Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni

In this work, we propose two novel methodologies to study temporal and morphological phenotypic effects caused by different experimental conditions using imaging data. As a proof o…