How Standardized Cell Labeling Could Fix Biotech's Data Problem

Flow cytometry can find a cell population in seconds, but naming it consistently across labs is a problem still unsolved.

If you've ever tried to compare cytometry data across studies, CROs, or even two scientists in the same lab, you know the frustration: everyone gates their own way, and the same cell population ends up with three different definitions. That inconsistency is quietly limiting what AI can do with biotech data.

Ryan Brinkman is VP Research Director of Flow Cytometry Bioinformatics at Dotmatics and Founding Director of SOULCAP, the Standard Ontology for Unambiguous Labeling…