Automated Image Analysis Reduces User-to-User Variability in Flow Cytometry Gating Strategies

Explore how automated image analysis can significantly reduce user-to-user variability in flow cytometry gating strategies in this 52-minute webinar presented by Erin Taylor. Learn about the major sources of variability in flow cytometry data analysis stemming from differences in user gating approaches. Discover how incorporating automated image analysis provides access to an extensive array of image-derived label-free parameters, aiding in sample quality assessment, gating strategy optimization, and the discovery of morphological features not detectable through traditional light scatter or fluorescence parameters. Gain insights into improving the consistency and reliability of flow cytometry data analysis across different users and experiments.