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Machine Learning Based Mesenchymal Stromal Cell  Characterization

Regenerative medicine. Immunotherapy. Tissue repair. Mesenchymal stromal cells (MSCs) hold high promise in numerous novel clinical treatments. But! Unregulated inconsistencies in the MSC phenotype negatively impact treatment outcomes. Here we develop a machine learning model to identify MSC extracellular marker expression and localization in phase contrast images of real time, live cell cultures. We hope that this technique can be developed into the next gold standard as an accurate, efficient, lower-cost, real-time, and non-invasive method of evaluating cell cultures. 

 

Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging. Sci Rep 11, 6728 (2021).