Deep learning-enabled computational cytometer using magnetically-modulated coherent imaging

We present a cost-effective and high-throughput computational cytometer using a magnetically-modulated lensless imaging technique and deep learning-based classification, to rapidly detect rare cells in whole blood, achieving a detection limit of 10 cells/mL.