Dynamic baseline tutorial: normalize cytometry data to any timepoint

Summary

In this episode, Lee Leavitt from Teiko demonstrates a powerful new feature designed to enhance data analysis for drug developers, particularly in complex dosing and combination therapies like CAR T therapy. The feature allows for data normalization to any time point in a dataset, significantly reducing data variance and highlighting biological changes. With pre-calculated statistics and correction for multiple tests, this tool simplifies and accelerates the analysis process, making it easier to identify significant effects of treatment over time. Watch as Lee guides you through a practical example involving lymphodepletion, showcasing how this innovation can speed up your immunotherapy development.

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