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    • 92. 发明公开
    • Cell analyser and cell analysing method
    • Zellanalysator和Zellanalyseverfahren
    • EP2045595A2
    • 2009-04-08
    • EP08017313.1
    • 2008-10-01
    • SYSMEX CORPORATION
    • Fukuda, MasakazuIshisaka, Masaki
    • G01N15/14G01N21/64
    • G01N15/147G01N15/1434G01N15/1459G01N2015/1477G01N2021/6439
    • The present invention is to present a cell analyzer capable of measuring cells which are approximately 20 to 100 µm in size with high precision via flow cytometry. The cell analyzer 10 comprises: a flow cell 51 in which a measurement sample including a measurement target cell flows; a light source part 53 for irradiating a light on the measurement sample flowing in the flow cell 51; an optical system 52 for forming a beam spot on the measurement sample flowing in the flow cell 51, the beam spot having a diameter of 3∼8 µm in a flow direction of the measurement sample and a diameter of 300∼600 µm in a direction perpendicular to the flow direction of the measurement sample; and a light receiving part 55, 58, 59 for receiving a light from the measurement sample.
    • 本发明提供一种能够通过流式细胞术以高精度测量大小为约20至100μm的细胞的细胞分析仪。 细胞分析装置10包括:流动池51,其中包括测量对象单元的测量样本流动; 用于对在流动池51中流动的测量样品照射光的光源部53; 用于在流动池51中流动的测量样品上形成束斑的光学系统52,在测量样品的流动方向上具有直径为3¼8μm的束斑和在垂直于流动的方向上的直径为300 /600μm的直径 测量样品的方向; 以及用于接收来自测量样品的光的光接收部分55,58,59。
    • 94. 发明公开
    • Methods for identifying discrete populations (e.g. clusters) of data within a flow cytometer multi-dimensional data set
    • 用于识别流式细胞仪多维数据集内的数据的离散群体(例如群集)的方法
    • EP1785899A3
    • 2007-05-23
    • EP06255789.7
    • 2006-11-10
    • IDEXX Laboratories Inc
    • G06F19/00
    • G01N15/1459G01N2015/008G01N2015/1006G01N2015/1402G01N2015/1477G06F19/00G06K9/00147G06K9/6226G06K9/626G16H50/20G16H50/70
    • Systems and methods for identifying populations of events in a multi-dimensional data set, e.g., seven dimensional flow cytometry data of a blood sample. The populations may, for example, be sets or clusters of data representing different white blood cell components in the sample. The methods use a library consisting of one or more one finite mixture models, each model component comprising parameters representing multi-dimensional Gaussian probability density functions, one density for each population of events expected in the data set. The methods further use an expert knowledge set comprising one or more data transformations for operation on the multi-dimensional data set and one or more logical statements. The transformations and logical statements encode a priori expectations as to the relationships between different event populations in the data set. The methods further use program code comprising instructions by which a processing unit such as a computer may operate on the multi-dimensional data, a finite mixture model selected from the library, and the expert knowledge set to thereby identify populations of events in the multi-dimensional data set.
    • 用于鉴定多维数据集中的事件群体的系统和方法,例如血液样本的七维流式细胞术数据。 例如,群体可以是代表样本中不同白血细胞组分的数据集或数据集。 这些方法使用由一个或多个有限混合模型组成的库,每个模型组件包括表示多维高斯概率密度函数的参数,对于数据集中预期的每个事件群体,一个密度。 该方法进一步使用专家知识集合,其包括用于在多维数据集上操作的一个或多个数据变换以及一个或多个逻辑语句。 这些转换和逻辑陈述对数据集中不同事件群体之间的关系进行先验预期编码。 所述方法进一步使用程序代码,所述程序代码包括指令,诸如计算机的处理单元可以通过所述指令对多维数据,从所述库中选择的有限混合模型以及所述专家知识集合进行操作,从而识别所述多​​维数据集中的事件群体, 三维数据集。
    • 99. 发明公开
    • Multidimensional leukocyte differential analysis
    • 多维度分析von Leukozyten
    • EP1363126A1
    • 2003-11-19
    • EP02380098.0
    • 2002-05-14
    • Universidad De Salamanca
    • Orfao de Matos Correia e Valle, Alberto
    • G01N33/569G01N33/58
    • G01N33/56972G01N15/1459G01N33/582G01N2015/1006G01N2015/1402G01N2015/1477Y10T436/101666Y10T436/107497Y10T436/108331Y10T436/13
    • This invention relates to an improved procedure for the multiparameter analysis of leukocyte subpopulations from peripheral blood, bone marrow or any body fluid containing blood nucleated cells, including the quantification of each subpopulation in terms of cells per microliter. The method uses a cocktail of at least four monoclonal antibodies labelled each with a different fluorescent tag, the measurement of at least two light scatter and four fluorescence emissions related parameters and at least one population of fluorescent beads to differentiate and enumerate between and among the different leukocyte subpopulations in the peripheral blood, the bone marrow or other body fluid. It includes: the incubation of the sample with a mixture of monoclonal antibodies conjugated to a minimum of four different fluorochromes, the addition of one or more populations of reference beads, the flow cytometry measurement of the fluorescence emissions associated to each cell and bead population and, the mutidimesional analysis of each cell and bead population present in the sample aimed at its identification, enumeration and characterization.
    • 本发明涉及一种用于多参数分析来自外周血,骨髓或含有血液有核细胞的任何体液的白细胞亚群的改进方法,包括以每微升细胞计数每个亚群。 该方法使用至少四种单克隆抗体的混合物,每个单克隆抗体标记各自具有不同的荧光标签,测量至少两个光散射和四个荧光发射相关参数,以及至少一个荧光珠群,以区分和枚举不同的 白细胞亚群在外周血,骨髓或其他体液中。 其包括:将样品与缀合至少四种不同荧光染料的单克隆抗体的混合物孵育,加入一个或多个参比珠群,与每个细胞和珠粒相关联的荧光发射的流式细胞术测量,以及 ,样本中存在的每个细胞和珠粒的多时间分析旨在其鉴定,计数和表征。