Label-free imaging flow cytometry using a motion sensitive camera

This study utilizes an event-based camera in an imaging flow cytometry system to enhance recognition processing. By detecting luminance changes asynchronously and outputting differential data with coordinate and time information, the event-based vision sensor allows for the reconstruction of intensity information of flowing biological cells. This innovative approach aims to improve the efficiency of quantitative analysis in imaging flow cytometry systems.