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CYTO University
While ISAC's live cytometry courses and workshops have been extremely successful, participant access is limited by geography, time constraints, and finances, leaving much unmet demand. CYTO U aims to address this need by providing peer-reviewed courses, recorded courses and tutorials from CYTO conferences, and a topical webinar series, among other interactive elements. To view a webinar, register on ISAC's membership page and become either a dues-paying member or a free nonmember. CYTO U is designed to enable cytometrists from around the world to interact with leaders in the field and with each other, a mission that continues to expand the ISAC community and advance the careers of our users.
Recent Additions
Detecting Apoptosis by Flow Cytometry
Presented by Bill Telford, Jolene Bradford, and Karen Tamul, this series of lectures introduces investigators to the concept of apoptosis, presents basic techniques, and then explores more advanced methodologies. The content emphasizes the building of multiparametric assays for measuring many aspects of apoptosis simultaneously, allowing the investigator to construct powerful assays for measuring cell death.
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Validation, the Key to Translatable Flow Cytometry
The importance of flow cytometry in Drug Development, Translational Science, and Clinical Laboratories continues to increase. Indeed, for CAR-T cell manufacturing it is the most critical tool for measurements of purity, identity, and potency. As the importance of data generated by flow cytometric methods increases, so does the need for robust reliable data sets. Building measurement assurance in flow cytometry has long been a focus of ISAC. Instrument qualification and method validation are two of the pillars required for obtaining data that are reliable and suitable for decision making. This three-part webinar series covers all aspects of validation for flow cytometry—from the instrument to the assay.
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Cytometry Part A Spotlight: DAFi
Although auto-gating approaches have advantages over traditional manual gating analysis, there exist roadblocks before a cytometry lab can adopt an auto-gating approach for cell population identification in routine use. We found that combining recursive data filtering and clustering with constraints converted from the user manual gating strategy can effectively address these roadblocks. We named this new approach DAFi: Directed Automated Filtering and Identification of cell populations.
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