Research on Deep Cytometry Published in Scientific Reports

Our recent work “Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry” which shows that high-throughput label-free cell classification with high accuracy can be achieved through a combination of time stretch quantitative phase imaging, microfluidics and deep learning is published in Scientific Reports.