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SYSTEM AND METHOD FOR CHAFTACTERIZING CELLULAR PHENOTYPIC DIVERSITY FROM MULTI-PARAMETER CELLULAR. AND SUB-CELLULAR IMAGING DATA

机译:用于从多参数细胞分析中鉴定细胞表型多样性的系统和方法。以及亚细胞成像数据

摘要

A method of characterizing cellular phenotypes includes receiving multi-parameter cellular and sub-cellular imaging data for a number of tissue samples from a number of patients or a number of multicellular in vitro models, performing cellular segmentation on the multi-parameter cellular and sub-cellular imaging data to create segmented multi-parameter cellular and sub-cellular imaging data, and performing recursive decomposition on the segmented multi-parameter cellular and subcellular imaging data to identify a plurality of computational phenotypes. The recursive decomposition includes a plurality of levels of decomposition with each level of decomposition including soft/probabilistic clustering and spatial regularization, and each cell in the segmented multi-parameter cellular and subcellular imaging data is probabilistically assigned to one or more of the plurality of computational phenotypes.
机译:一种表征细胞表型的方法,包括接收来自多个患者或多个多细胞体外模型的多个组织样本的多参数细胞和亚细胞成像数据,对多参数细胞和亚细胞成像数据执行细胞分割,以创建分段的多参数细胞和亚细胞成像数据,以及对分段的多参数细胞和亚细胞成像数据执行递归分解,以识别多个计算表型。递归分解包括多个层次的分解,每个层次的分解包括软/概率聚类和空间正则化,分段的多参数细胞和亚细胞成像数据中的每个细胞被概率地分配给多个计算表型中的一个或多个。

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