BLOOD ANALYSIS USING A FLOW IMAGING CYTOMETER
    1.
    发明申请
    BLOOD ANALYSIS USING A FLOW IMAGING CYTOMETER 审中-公开
    使用流量成像测量仪进行血液分析

    公开(公告)号:WO2006083969A3

    公开(公告)日:2008-06-26

    申请号:PCT/US2006003573

    申请日:2006-02-01

    CPC classification number: G06K9/00127 G01N15/147 G01N15/1475 G01N2015/1497

    Abstract: Multimodal/multispectral images of a population of cells are simultaneously collected (402). Photometric and/or morphometric features identifiable in the images (404) are used to separate the population of cells into a plurality of subpopulations. Where the population of cells includes diseased cells and healthy cells, the images can be separated into a healthy subpopulation, and a diseased subpopulation (408). Where the population of cells does not include diseased cells, one or more ratios of different cell types in patients not having a disease condition can be compared to the corresponding ratios in patients having the disease condition, enabling the disease condition to be detected. For example, blood cells can be separated into different types based on their images, and an increase in the number of lymphocytes, a phenomenon associated with chronic lymphocytic leukemia, can readily be detected.

    Abstract translation: 同时收集细胞群的多峰/多光谱图像(402)。 图像(404)中可识别的光度和/或形态测量特征用于将细胞群分离成多个亚群体。 当细胞群体包括患病细胞和健康细胞时,图像可被分成健康亚群和患病亚群(408)。 在细胞群不包括患病细胞的情况下,不具有疾病状况的患者中不同细胞类型的一种或多种比例可以与具有疾病状况的患者中的相应比例进行比较,从而能够检测疾病状况。 例如,血细胞可以基于它们的图像分离成不同类型,并且可以容易地检测淋巴细胞数量的增加,这是与慢性淋巴细胞性白血病相关的现象。

    BLOOD ANALYSIS USING A FLOW IMAGING CYTOMETER
    2.
    发明公开
    BLOOD ANALYSIS USING A FLOW IMAGING CYTOMETER 审中-公开
    用流式细胞计数仪进行血液分析

    公开(公告)号:EP1844426A4

    公开(公告)日:2016-09-07

    申请号:EP06720094

    申请日:2006-02-01

    Applicant: AMNIS CORP

    CPC classification number: G06K9/00127 G01N15/147 G01N15/1475 G01N2015/1497

    Abstract: Multimodal/multispectral images of a population of cells are simultaneously collected. Photometric and/or morphometric features identifiable in the images are used to separate the population of cells into a plurality of subpopulations. Where the population of cells includes diseased cells and healthy cells, the images can be separated into a healthy subpopulation, and a diseased subpopulation. Where the population of cells does not include diseased cells, one or more ratios of different cell types in patients not having a disease condition can be compared to the corresponding ratios in patients having the disease condition, enabling the disease condition to be detected. For example, blood cells can be separated into different types based on their images, and an increase in the number of lymphocytes, a phenomenon associated with chronic lymphocytic leukemia, can readily be detected.

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