Predicting cellular pluripotency using contrast images
AssigneeInsitro, Inc.
InventorsMatthew Chen, Lauren Schiff, Alicia Cuevas, Kelly Haston, Haoyang Zeng, Cody Scandore
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AssigneeInsitro, Inc.
InventorsMatthew Chen, Lauren Schiff, Alicia Cuevas, Kelly Haston, Haoyang Zeng, Cody Scandore
Estimating the term…
Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).
A method for characterizing pluripotency of a plurality of cells, the method comprising:
A method for characterizing pluripotency of a plurality of cells, the method comprising:
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