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Learn about leveraging image-enhanced flow cytometry for predictive donor material characterization in cell therapy manufacturing through this 48-minute webinar presented by Nicole Madfis, Ph.D., and Jasmine Padilla from Thermo Fisher Scientific. Discover how rapid developments in gene-modified cell therapies have increased the need for fast and reliable analytics methods across research, development, and manufacturing workflows. Explore techniques for characterizing cellular properties that influence donor variability in cell expansion, functionality, and post-editing efficacy. Gain insights into using the Invitrogenâ„¢ Attuneâ„¢ CytPixâ„¢ Flow Cytometer to monitor T-cell morphological metrics during ex vivo expansion and build predictive models for T-cell expansion across various donors. Master image-enhanced flow cytometry and machine learning applications for data-driven cell characterization and quality control, learn techniques for improving population purity and cell viability assessments, and understand how image-based gating decisions can reduce user variability and enhance standardization in cell therapy processes.
