Our work about the high-throughput single-microparticle imaging flow analyzer has been published in PNAS online and covered in UCLA Newsroom and PNAS’s Highlights. The technology can take a picture of every single cell in a microfluidic channel with a record high throughput of 100,000 cells/s and perform non-stop image-based cell classification in real time. It holds promise for a broad range of applications such as high-throughput screening, cancer detection, and stem cell research. The work has been highlighted in TIME Magazine and OPN.