HIGH DIMENSIONAL SPATIAL ANALYSIS
    1.
    发明公开

    公开(公告)号:US20240046671A1

    公开(公告)日:2024-02-08

    申请号:US18491609

    申请日:2023-10-20

    CPC classification number: G06V20/698 G06T7/11 G06T2207/10056

    Abstract: A method for high dimensional spatial analysis includes segmenting, into a plurality of segments, an image depicting a plurality of cells comprising a biological sample. Each segment of the plurality of segments may correspond to one cell of the plurality of cells. A phenotype for each cell of the plurality of cells depicted in the image may be determined based on the segmented image. The determining of the phenotype may include identifying, within the plurality of cells, a first cell type having a first phenotype and a second cell type having a second phenotype. One or more metrics, such as a colocation quotient or an Earth Mover's Distance, quantifying a co-occurrence pattern between the first cell type and the second cell type may be determined. A visual representation of the co-occurrence pattern between the first cell type and the second cell type may be generated based on the metric.

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