公开(公告)号：US07764822B2

公开(公告)日：2010-07-27

申请号：US12253275

申请日：2008-10-17

申请人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

发明人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

IPC分类号： G06K9/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, includes an automated microscope, a fast autofocus device, and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 用于在药物发现中进行自动细胞筛选的系统包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最小的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

公开(公告)号：US20060257013A1

公开(公告)日：2006-11-16

申请号：US10514925

申请日：2003-05-09

申请人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

发明人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

IPC分类号： G06K9/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, including an automated microscope, a fast autofocus device and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 一种用于在药物发现中进行自动细胞筛选的系统，包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最小的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

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

IPC分类号： G06F19/00 ,  G06F7/08 ,  G06K9/00

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。

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

IPC分类号： G01N15/14 ,  G01N21/64 ,  G06K9/00 ,  G06K9/62

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。