Innovative AI-enabled, low-cost device makes flow cytometry accessible for clinical use

A team of researchers at the George R. Brown School of Engineering and Computing at Rice University has developed an innovative artificial intelligence (AI)-enabled, low-cost device that will make flow cytometry ⎯ a technique used to analyze cells or particles in a fluid using a laser beam ⎯ affordable and accessible.