The rapid evolution of gene-modified cell therapies, particularly CAR T-cell therapies, has heightened the demand for efficient and reliable analytical methods across research, in-process development, and manufacturing workflows. Understanding the cellular characteristics influencing donor variability in cell expansion, functionality, and post-editing efficacy is crucial for developing robust, efficient, and cost-effective cell therapy manufacturing processes.
Such insights enable researchers to evaluate initial donor material and make informed decisions about the manufacturing process during its planning stages.
During this webinar, we present a practical application of evaluating donor material health in cell therapy manufacturing using the Invitrogen™ Attune™ CytPix™ Flow Cytometer. This technology monitors T-cell morphological metrics during ex vivo expansion and helps construct predictive models to anticipate T-cell expansion across different donors, showcasing its capacity to facilitate intelligent, donor-specific manufacturing processes. By producing quantitative morphological data, we can gain deeper insights into cellular features beyond conventional flow cytometric measurements.
Learning Objectives:
- Exploring the role of image-enhanced flow cytometry and machine learning in facilitating data-driven cell characterization and quality control across cell therapy manufacturing workflows.
- Discussing techniques to improve population purity and cell viability assessments in research settings.
- Understanding the influence of image-based gating decisions in minimizing user variability and enhancing standardization in cell therapy processes.
This webinar will be available for unlimited on-demand viewing following the live event.
