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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.
Inventor: Matthew Chen , Lauren Schiff , Alicia Cuevas , Kelly Haston , Haoyang Zeng , Cody Scandore
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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公开(公告)号:US12045982B2
公开(公告)日:2024-07-23
申请号:US18233275
申请日:2023-08-11
Applicant: Insitro, Inc.
Inventor: Matthew Chen , Lauren Schiff , Alicia Cuevas , Kelly Haston , Haoyang Zeng , Cody Scandore
CPC classification number: G06T7/0012 , G06V10/82 , G06V20/695 , G06T2207/10056 , G06T2207/10064 , G06T2207/20084 , G06T2207/30072 , G06V2201/04
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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公开(公告)号:US20230401704A1
公开(公告)日:2023-12-14
申请号:US18233275
申请日:2023-08-11
Applicant: Insitro, Inc.
Inventor: Matthew Chen , Lauren Schiff , Alicia Cuevas , Kelly Haston , Haoyang Zeng , Cody Scandore
CPC classification number: G06T7/0012 , G16B20/00 , G06V20/695 , G06V10/82 , G06T2207/10056 , G06T2207/10064 , G06T2207/30072 , G06V2201/04 , G06T2207/20084
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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