Evaluating flow cytometry automated data analysis software in cell therapy manufacturing

Flow cytometry is used in cell therapy manufacturing to determine critical quality attributes such as viability, identity, purity, and potency. Machine learning algorithms have been developed to improve the reliability of flow cytometry data analysis compared to manual gating. However, previous work...

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Bibliographic Details
Main Authors: Melissa Cheung, Julian Braybrook, Rob Thomas, Jonathan Campbell, Jon Petzing
Format: Default Poster
Published: 2019
Subjects:
Flow Cytometry
Automated Gating
Clustering
Synthetic Data
Online Access:https://hdl.handle.net/2134/11309528.v1
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