The group of Keisuke GODA at the University of Tokyo combined a fluorescent-activated cell sorter (FACS) with high-speed micro-imaging and high-speed data processing based on a 10 Gigabit Ethernet. After cycles of deep learning with cell samples, the machine was able to discriminate cells by high-speed imaging. The system was successfully tested with microbial, animal and plant cells.
JST news release, August 28, 2018
University of Tokyo team develops „intelligent Cell Sorter“ based on deep learning of cell images