“Label-free optical microscopy of T cell and stem cell metabolism”

Hosted by the Department of Biomedical Engineering

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Abstract: T cell and stem cell manufacturing are two major components of the cell therapy market. However, cost-effective and time-efficient technologies are needed to monitor the quality of of cells during biomanufacturing. We have developed a non-invasive and label-free live cell imaging platform to monitor T cell function and predict the efficiency of stem cell differentiation at a single-cell level. Fluorescence lifetime imaging of the metabolic co-enzymes NAD(P)H and FAD was coupled with single cell segmentation and prospective classification algorithms. This approach identified T cell activation and function with high accuracy, and predicted stem cell differentiation efficiency early (day 1) with high accuracy. This non-invasive and label-free method could be used monitor cell manufacturing for T cell and stem cell therapies, reducing the cost and time to produce these therapies while improving potency and consistency.

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