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    • 4. 发明授权
    • System for and method of intelligently directed segmentation analysis for automated microscope systems
    • 用于自动显微镜系统的智能定向分割分析系统和方法
    • US08116543B2
    • 2012-02-14
    • US12460079
    • 2009-07-13
    • Cynthia B. PerzRobert T. EllisJose De La Torre-Bueno
    • Cynthia B. PerzRobert T. EllisJose De La Torre-Bueno
    • G06K9/00
    • G06K9/0014G06T7/11G06T2207/10056G06T2207/20016G06T2207/20021G06T2207/20076G06T2207/20132G06T2207/30024
    • The present disclosure includes systems and techniques relating to intelligently directed segmentation analysis for automated microscope systems. In general, in one implementation, the technique includes obtaining an image of at least a portion of a scan region including a biological specimen, partitioning the obtained image into zelles, determining one or more parameters of the zelles, performing a cluster analysis on the one or more parameters of the zelles, differentiating tissue of greater interest from tissue of lesser interest in the obtained image based on the cluster analysis and based on a test being performed for the biological specimen, and storing more information for the tissue of greater interest than information for the tissue of lesser interest. The cluster analysis can be a multivariate statistical cluster analysis, and the zelles can be test-dependent zelles (e.g., having dimensions defined according to the test being performed for the biological specimen).
    • 本公开包括与用于自动显微镜系统的智能定向分割分析有关的系统和技术。 通常,在一个实施方式中,该技术包括获得包括生物样本的扫描区域的至少一部分的图像,将获得的图像划分为zelles,确定zell的一个或多个参数,对该图像执行聚类分析 或更多参数,基于聚类分析,并且基于对生物样本进行的测试,并且比信息存储更多的感兴趣的组织的信息,将获得的图像中较不感兴趣的组织感兴趣的组织区分为更多的组织 对于较不感兴趣的组织。 聚类分析可以是多变量统计聚类分析,并且zelles可以是测试依赖性zelles(例如,具有根据为生物样本进行的测试而定义的维度)。