Federico Iuricich

The paper introduces a benchmark dataset for low-frame-rate cell tracking in long-term live-cell microscopy, containing annotated sequences from four human cell lines.

The paper uses single-cell imaging and machine learning to predict cell division from ERK and Akt activity dynamics in MCF10A cells, finding ERK alone predicts division with AUC=0.74.