-
公开(公告)号：US20060247862A1
公开(公告)日：2006-11-02
申请号：US10550362
申请日：2003-09-08
申请人： Nicholas Arini , Ian Goodyer , Alla Zaltsman
发明人： Nicholas Arini , Ian Goodyer , Alla Zaltsman
CPC分类号： G06K9/00127
摘要： A method of determining cell cycle phase data for cells comprising at least one luminescent reporter capable of emitting radiation, the at least one luminescent reporter comprising a first luminescent reporter which is capable of being indicative of at least one cell cycle phase, said method comprising: storing classification information for classifying individual cells into different cell cycle phases using an automated classification process; receiving image data created by detecting radiation emitted by said at least one luminescent reporter; analyzing said image data to identify object areas in the image data which correspond to individual cells; analyzing said image data, on the basis of said identified object areas, to determine, for a selected cell, one or more measurements including a measurement of a parameter relating to at least a cytoplasmic component of the cell; and applying said classification information to said measurements to classify the selected cell into a selected one of a plurality of sub-populations of cells, each sub-population having cells in a different cell cycle phase.
摘要翻译： 一种确定细胞的细胞周期相位数据的方法，所述细胞包含至少一种能够发射辐射的发光报告基团，所述至少一种发光报告基因包含能够指示至少一个细胞周期相的第一发光报道基因，所述方法包括： 存储用于使用自动分类过程将各个细胞分类成不同的细胞周期阶段的分类信息; 接收通过检测由所述至少一个发光报告器发射的辐射而产生的图像数据; 分析所述图像数据以识别对应于各个单元的图像数据中的对象区域; 基于所述识别的对象区域分析所述图像数据，以针对所选择的小区来确定包括与所述小区的至少细胞质组分相关的参数的测量的一个或多个测量; 以及将所述分类信息应用于所述测量以将所选择的细胞分类为多个细胞亚群中的所选择的一个，每个亚群具有不同细胞周期阶段的细胞。
-
2.发明授权公开(公告)号：US07369696B2
公开(公告)日：2008-05-06
申请号：US10817213
申请日：2004-04-02
申请人： Nick Arini , Alla Zaltsman , Ian Goodyer , Yuriy Alexandrov , Jurek Cybuch , Bohdan Soltys , Louis Dagenais , Liz Roquemore , Sam Murphy
发明人： Nick Arini , Alla Zaltsman , Ian Goodyer , Yuriy Alexandrov , Jurek Cybuch , Bohdan Soltys , Louis Dagenais , Liz Roquemore , Sam Murphy
CPC分类号： G06K9/00127 , G01N15/1475 , G01N21/6428 , G01N21/6452 , G01N21/6458 , G01N2015/1477 , G01N2015/1493
摘要： A method of classifying cells into subpopulations using cell classifying data is described. The method comprises receiving and analyzing image data to identify object areas in the image data to determine, for at least one selected first cell, one or more measurements. A first parameter set is derived from the measurements for the first cell, the first parameter set comprising at least one of said one or more measurements. The first set of cells are classified into subpopulations, and identified to produce first identifying data. Cell classifying data for use in classifying a second set of cells into subpopulations is derived from the first parameter set and the first identifying data. A second set of cells is classified into subpopulations on the basis of one or more measurements taken for cells in the second set of cells, by use of the cell classifying data. The parameter sets of cells may be represented as vectors in an n-dimensional space.
摘要翻译： 描述了使用细胞分类数据将细胞分类为亚群体的方法。 该方法包括接收和分析图像数据以识别图像数据中的对象区域，以便对于至少一个所选择的第一小区来确定一个或多个测量。 从第一单元的测量得到第一参数集，第一参数集包括所述一个或多个测量中的至少一个。 第一组细胞被分类为亚群，并被鉴定以产生第一识别数据。 从第一参数集和第一识别数据导出用于将第二组细胞分类为子群体的细胞分类数据。 基于对第二组细胞中的细胞进行的一次或多次测量，通过使用细胞分类数据将第二组细胞分类为亚群体。 单元的参数集可以表示为n维空间中的向量。
-
3.发明申请Method of, and computer software for, classification of cells into subpopulations 有权用于将细胞分类为亚群的方法和计算机软件公开(公告)号：US20050207633A1
公开(公告)日：2005-09-22
申请号：US10817213
申请日：2004-04-02
申请人： Nick Arini , Alla Zaltsman , Ian Goodyer , Yuriy Alexandrov , Jurek Cybuch , Bohdan Soltys , Louis Dagenais , Liz Roquemore , Sam Murphy
发明人： Nick Arini , Alla Zaltsman , Ian Goodyer , Yuriy Alexandrov , Jurek Cybuch , Bohdan Soltys , Louis Dagenais , Liz Roquemore , Sam Murphy
CPC分类号： G06K9/00127 , G01N15/1475 , G01N21/6428 , G01N21/6452 , G01N21/6458 , G01N2015/1477 , G01N2015/1493
摘要： A method of classifying cells into subpopulations using cell classifying data is described. The method comprises receiving and analyzing image data to identify object areas in the image data to determine, for at least one selected first cell, one or more measurements. A first parameter set is derived from the measurements for the first cell, the first parameter set comprising at least one of said one or more measurements. The first set of cells are classified into subpopulations, and identified to produce first identifying data. Cell classifying data for use in classifying a second set of cells into subpopulations is derived from the first parameter set and the first identifying data. A second set of cells is classified into subpopulations on the basis of one or more measurements taken for cells in the second set of cells, by use of the cell classifying data. The parameter sets of cells may be represented as vectors in an n-dimensional space.
摘要翻译： 描述了使用细胞分类数据将细胞分类为亚群体的方法。 该方法包括接收和分析图像数据以识别图像数据中的对象区域，以便对于至少一个所选择的第一小区来确定一个或多个测量。 从第一单元的测量得到第一参数集，第一参数集包括所述一个或多个测量中的至少一个。 第一组细胞被分类为亚群，并被鉴定以产生第一识别数据。 从第一参数集和第一识别数据导出用于将第二组细胞分类为子群体的细胞分类数据。 基于对第二组细胞中的细胞进行的一次或多次测量，通过使用细胞分类数据将第二组细胞分类为亚群体。 单元的参数集可以表示为n维空间中的向量。
-
-
搜索结果
3 条记录 (耗时 0.023 秒)
