公开(公告)号：US20090034822A1

公开(公告)日：2009-02-05

申请号：US12130850

申请日：2008-05-30

申请人： Daniel A. Coleman ,  Ge Cong ,  Aibing Rao ,  Eugeni A. Vaisberg

发明人： Daniel A. Coleman ,  Ge Cong ,  Aibing Rao ,  Eugeni A. Vaisberg

IPC分类号： G06K9/00

CPC分类号： G06K9/0014 ,  G06T7/0012 ,  G06T2207/30024

摘要： Methods, data processing apparatus and computer program products for characterising cells and the affect of treatments administered to cells are disclosed. In particular methods of identifying bi-nuclear cells are described which include capturing an image of a plurality of marked cells and processing image to obtain features of the plurality of cells. The features are analyzed to determine whether the feature is indicative of bi-nuclear cells. Those cells for which the first feature is indicative of bi-nuclear cells are identified as being bi-nuclear. Three algorithms in particular are described. A first algorithm can be used to determine the number of nuclei in an image of a nuclear component by determining the number of concave regions within the outline of the image. A second algorithm uses a measure of the amount of cytoplasmic material between a pair of nuclei to identify bi-nuclear cells. A third algorithm uses the statistics of the spatial distribution of objects to identify isolated pairs of nuclei which can be considered to be from the same cell.

摘要翻译： 公开了用于表征细胞的方法，数据处理装置和计算机程序产品以及对细胞施用的治疗的影响。 描述了特定的识别双核细胞的方法，其包括捕获多个标记细胞的图像和处理图像以获得多个细胞的特征。 分析特征以确定特征是否表示双核细胞。 第一特征指示双核细胞的那些细胞被鉴定为双核的。 具体描述三种算法。 可以使用第一算法来确定图像轮廓内的凹区域的数量来确定核分量的图像中的核的数量。 第二种算法使用一对核之间的细胞质材料的量的量度来识别双核细胞。 第三种算法使用对象的空间分布的统计来识别可以被认为来自相同小区的孤立的核对。

公开(公告)号：US07151847B2

公开(公告)日：2006-12-19

申请号：US09792012

申请日：2001-02-20

申请人： Eugeni A. Vaisberg ,  Ge Cong ,  Hsien-Hsun Wu

发明人： Eugeni A. Vaisberg ,  Ge Cong ,  Hsien-Hsun Wu

IPC分类号： G06K9/00

CPC分类号： G06K9/0014 ,  G01N15/1475 ,  G01N2015/1006 ,  G01N2015/1472 ,  G01N2015/149 ,  G06K9/00127

摘要： Methods, code and apparatus analyze cell images to automatically identify and characterize the Golgi complex in individual cells. This is accomplished by first locating the cells in the image and defining boundaries of those cells that subsume some or all of the Golgi complex of those cells. The Golgi complex in the images typically have intensity values corresponding to the concentration of a Golgi component in the cell (e.g. a polysaccharide associated with the Golgi complex). The method/system then analyzes the Golgi components of the image (typically on a pixel-by-pixel basis) to mathematically characterize the Golgi complex of individual cells. This mathematical characterization represents phenotypic information about the cells' Golgi complex and can be used to classify cells. From this information, mechanism of action and other important biological information can be deduced.

公开(公告)号：US06956961B2

公开(公告)日：2005-10-18

申请号：US09792013

申请日：2001-02-20

申请人： Ge Cong ,  Eugeni A. Vaisberg

发明人： Ge Cong ,  Eugeni A. Vaisberg

IPC分类号： G01N15/00 ,  G01N15/14 ,  G06K9/00 ,  G06T1/40 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00

CPC分类号： G06K9/0014 ,  G01N15/14 ,  G01N2015/0065 ,  G01N2015/1497 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/155 ,  G06T7/62 ,  G06T7/66 ,  G06T2207/10056 ,  G06T2207/20044 ,  G06T2207/20152 ,  G06T2207/30024

摘要： Methods and apparatus are provided for the analysis of images of cells and extraction biologically-significant shape-related features from the cell images. The extracted features may be correlated with particular conditions induced by biologically-active agents with which cells have been treated, thereby enabling the automated analysis of cells based on cell shape parameters. In particular, the invention provides methods for segmentation of cells in an image using a combination of a reference component image data and cell shape-indicative marker image data in a watershed technique. Further, the invention provides a skeletonization and skeleton analysis technique for extracting biologically-relevant features from cell shapes.

公开(公告)号：US07269278B2

公开(公告)日：2007-09-11

申请号：US11165914

申请日：2005-06-24

申请人： Ge Cong ,  Eugeni A. Vaisberg

发明人： Ge Cong ,  Eugeni A. Vaisberg

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06K9/0014 ,  G01N15/14 ,  G01N2015/0065 ,  G01N2015/1497 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/155 ,  G06T7/62 ,  G06T7/66 ,  G06T2207/10056 ,  G06T2207/20044 ,  G06T2207/20152 ,  G06T2207/30024

摘要： Methods and apparatus are provided for the analysis of images of cells and extraction biologically-significant shape-related features from the cell images. The extracted features may be correlated with particular conditions induced by biologically-active agents with which cells have been treated, thereby enabling the automated analysis of cells based on cell shape parameters. In particular, the invention provides methods for segmentation of cells in an image using a combination of a reference component image data and cell shape-indicative marker image data in a watershed technique. Further, the invention provides a skeletonization and skeleton analysis technique for extracting biologically-relevant features from cell shapes.

摘要翻译： 提供了方法和装置，用于细胞图像的分析和从细胞图像提取生物学显着的形状相关特征。 提取的特征可以与由细胞已被处理的生物活性剂诱导的特定条件相关，从而使得能够基于细胞形状参数自动分析细胞。 具体地，本发明提供了使用分水岭技术中的参考分量图像数据和细胞形状指示标记图像数据的组合来分割图像中的细胞的方法。 此外，本发明提供了用于从细胞形状提取生物相关特征的骨架化和骨架分析技术。

公开(公告)号：US20050009032A1

公开(公告)日：2005-01-13

申请号：US10615116

申请日：2003-07-07

申请人： Daniel Coleman ,  Ge Cong ,  Aibing Rao ,  Eugeni Vaisberg

发明人： Daniel Coleman ,  Ge Cong ,  Aibing Rao ,  Eugeni Vaisberg

IPC分类号： G06K9/00 ,  G06T7/00 ,  C12Q1/68

CPC分类号： G06K9/0014 ,  G06T7/0012 ,  G06T2207/30024

摘要： Methods, data processing apparatus and computer program products for characterising cells and the affect of treatments administered to cells are disclosed. In particular methods of identifying bi-nuclear cells are described which include capturing an image of a plurality of marked cells and processing image to obtain features of the plurality of cells. The features are analyzed to determine whether the feature is indicative of bi-nuclear cells. Those cells for which the first feature is indicative of bi-nuclear cells are identified as being bi-nuclear. Three algorithms in particular are described. A first algorithm can be used to determine the number of nuclei in an image of a nuclear component by determining the number of concave regions within the outline of the image. A second algorithm uses a measure of the amount of cytoplasmic material between a pair of nuclei to identify bi-nuclear cells. A third algorithm uses the statistics of the spatial distribution of objects to identify isolated pairs of nuclei which can be considered to be from the same cell.

摘要翻译： 公开了用于表征细胞的方法，数据处理装置和计算机程序产品以及对细胞施用的治疗的影响。 描述了特定的识别双核细胞的方法，其包括捕获多个标记细胞的图像和处理图像以获得多个细胞的特征。 分析特征以确定特征是否表示双核细胞。 第一特征指示双核细胞的那些细胞被鉴定为双核的。 具体描述三种算法。 可以使用第一算法来确定图像轮廓内的凹区域的数量来确定核分量的图像中的核的数量。 第二种算法使用一对核之间的细胞质材料的量的量度来识别双核细胞。 第三种算法使用对象的空间分布的统计来识别可以被认为来自相同小区的孤立的核对。

公开(公告)号：US20140219885A1

公开(公告)日：2014-08-07

申请号：US14169066

申请日：2014-01-30

申请人： Ge Cong ,  Lijun Wu ,  Richard Cong

发明人： Ge Cong ,  Lijun Wu ,  Richard Cong

IPC分类号： G01N21/17 ,  G06T7/00 ,  G01N33/558

CPC分类号： G06T7/00 ,  G01N21/8483 ,  G01N33/54393 ,  G01N33/558 ,  G01N2021/1748

摘要： Techniques for fast and accurate measuring test strip intensities are disclosed herein. A method for measuring a test strip intensity comprising steps of obtaining an image of a sample line in a test strip and a plurality of reference lines, wherein the reference lines have known intensities; determining grayscale values of the sample line and the reference lines from the image; constructing a standard curve based on the grayscale values versus the known intensities of the reference lines; and determining the intensity of the sample line by fitting the grayscale value of the sample line on the standard curve.

摘要翻译： 本文公开了用于快速和精确测量测试条强度的技术。 一种用于测量测试条强度的方法，包括以下步骤：获得测试条中的采样线的图像和多个参考线，其中所述参考线具有已知的强度; 从图像确定样本线和参考线的灰度值; 基于灰度值与参考线的已知强度构建标准曲线; 以及通过将样品线的灰度值拟合在标准曲线上来确定样品线的强度。

公开(公告)号：US08090189B1

公开(公告)日：2012-01-03

申请号：US12042329

申请日：2008-03-04

申请人： Vinayak Dattatreya Phalke ,  Ge Cong ,  Lih-Huah Yiin ,  Yalin Xiong

发明人： Vinayak Dattatreya Phalke ,  Ge Cong ,  Lih-Huah Yiin ,  Yalin Xiong

IPC分类号： G06K9/00

CPC分类号： G03F1/84 ,  G01N21/956 ,  G03F1/36 ,  G06T7/001 ,  G06T2207/30148

摘要： Methods and apparatus relating to the inspection of photomasks are described. In an embodiment, detection of thin line or sub-resolution assist features may be used for selective sensitivity during photomask inspection. Other embodiments are also described.

摘要翻译： 描述与光掩模检查相关的方法和设备。 在一个实施例中，可以在光掩模检查期间使用细线或次分辨率辅助特征的检测用于选择性灵敏度。 还描述了其它实施例。

公开(公告)号：US20060228016A1

公开(公告)日：2006-10-12

申请号：US11451998

申请日：2006-06-12

申请人： Eugeni Vaisberg ,  Ge Cong ,  Hsien-Hsun Wu

发明人： Eugeni Vaisberg ,  Ge Cong ,  Hsien-Hsun Wu

IPC分类号： G06K9/00

CPC分类号： G06K9/0014 ,  G01N15/1475 ,  G01N2015/1006 ,  G01N2015/1472 ,  G01N2015/149 ,  G06K9/00127

摘要： Methods, code and apparatus analyze cell images to automatically identify and characterize the Golgi complex in individual cells. This is accomplished by first locating the cells in the image and defining boundaries of those cells that subsume some or all of the Golgi complex of those cells. The Golgi complex in the images typically have intensity values corresponding to the concentration of a Golgi component in the cell (e.g. a polysaccharide associated with the Golgi complex). The method/system then analyzes the Golgi components of the image (typically on a pixel-by-pixel basis) to mathematically characterize the Golgi complex of individual cells. This mathematical characterization represents phenotypic information about the cells' Golgi complex and can be used to classify cells. From this information, mechanism of action and other important biological information can be deduced.

公开(公告)号：US09240039B2

公开(公告)日：2016-01-19

申请号：US14169066

申请日：2014-01-30

申请人： Ge Cong ,  Lijun Wu ,  Richard Cong

发明人： Ge Cong ,  Lijun Wu ,  Richard Cong

IPC分类号： G01N33/00 ,  G06T7/00 ,  G01N33/558 ,  G01N21/84 ,  G01N33/543 ,  G01N21/17

CPC分类号： G06T7/00 ,  G01N21/8483 ,  G01N33/54393 ,  G01N33/558 ,  G01N2021/1748

摘要： Techniques for fast and accurate measuring test strip intensities are disclosed herein. A method for measuring a test strip intensity comprising steps of obtaining an image of a sample line in a test strip and a plurality of reference lines, wherein the reference lines have known intensities; determining grayscale values of the sample line and the reference lines from the image; constructing a standard curve based on the grayscale values versus the known intensities of the reference lines; and determining the intensity of the sample line by fitting the grayscale value of the sample line on the standard curve.

摘要翻译： 本文公开了用于快速和精确测量测试条强度的技术。 一种用于测量测试条强度的方法，包括以下步骤：获得测试条中的采样线的图像和多个参考线，其中所述参考线具有已知的强度; 从图像确定样本线和参考线的灰度值; 基于灰度值与参考线的已知强度构建标准曲线; 并通过将样品线的灰度值拟合在标准曲线上来确定样品线的强度。

公开(公告)号：US20050267690A1

公开(公告)日：2005-12-01

申请号：US11165914

申请日：2005-06-24

申请人： Ge Cong ,  Eugeni Vaisberg

发明人： Ge Cong ,  Eugeni Vaisberg

IPC分类号： G01N15/00 ,  G01N15/14 ,  G06K9/00 ,  G06T1/40 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06F19/00 ,  G01N33/48 ,  G01N33/50

CPC分类号： G06K9/0014 ,  G01N15/14 ,  G01N2015/0065 ,  G01N2015/1497 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/155 ,  G06T7/62 ,  G06T7/66 ,  G06T2207/10056 ,  G06T2207/20044 ,  G06T2207/20152 ,  G06T2207/30024

摘要： Methods and apparatus are provided for the analysis of images of cells and extraction biologically-significant shape-related features from the cell images. The extracted features may be correlated with particular conditions induced by biologically-active agents with which cells have been treated, thereby enabling the automated analysis of cells based on cell shape parameters. In particular, the invention provides methods for segmentation of cells in an image using a combination of a reference component image data and cell shape-indicative marker image data in a watershed technique. Further, the invention provides a skeletonization and skeleton analysis technique for extracting biologically-relevant features from cell shapes.

摘要翻译： 提供了方法和装置，用于细胞图像的分析和从细胞图像提取生物学显着的形状相关特征。 提取的特征可以与由细胞已被处理的生物活性剂诱导的特定条件相关，从而使得能够基于细胞形状参数自动分析细胞。 具体地，本发明提供了使用分水岭技术中的参考分量图像数据和细胞形状指示标记图像数据的组合来分割图像中的细胞的方法。 此外，本发明提供了用于从细胞形状提取生物相关特征的骨架化和骨架分析技术。