Final Report Summary - DIVIMAGE (Bridging spatial and temporal resolution gaps in the study of cell division)
Our study has been driven by technology advancement towards automated microscopy and computational data analysis. A major achievement of this project has been the development of novel computer vision and machine learning tools that are available to a broad research community. We have implemented the software platform CellCognition Explorer for novelty detection and deep learning of cellular phenotypes, and demonstrated broad applicability in several large-scale screens that revealed novel cell division regulators. Our work has therefore substantially advanced high-content screening technology and has provided groundbreaking insights into the molecular mechanisms underlying cell division.