Rice researchers harness gravity to create low-cost device for rapid cell analysis
HOUSTON – (Feb. 28, 2025) – 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.
The prototype identifies and counts cells from unpurified blood samples with similar accuracy as the more expensive and bulky conventional flow cytometers, provides results within minutes and is significantly cheaper and compact, making it highly attractive for point-of-care clinical ...















