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