Anish J Virdi

Abstract High throughput fluorescence microscopy is an essential tool in systems biological studies of eukaryotic cells. Its power can be fully realized when all cells in a field of view and the entire time series can be accurately localized and quantified. These tasks can be mapped to the common paradigm in computer vision: instance segmentation. Recently, supervised deep learning-based methods have become state-of-the-art for cellular instance segmentation.