PREDICTING CELLULAR PLURIPOTENCY USING CONTRAST IMAGES

    公开(公告)号:US20240412361A1

    公开(公告)日:2024-12-12

    申请号:US18746658

    申请日:2024-06-18

    Applicant: Insitro, Inc.

    Abstract: 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).

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