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    Method of characterizing cell shape
    3.
    发明申请
    Method of characterizing cell shape 审中-公开
    表征细胞形状的方法

    公开(公告)号：US20050273271A1

    公开(公告)日：2005-12-08

    申请号：US11098020

    申请日：2005-04-01

    申请人： Aibing Rao ,  David Roof ,  Mary Maxon ,  Eugeni Vaisberg

    发明人： Aibing Rao ,  David Roof ,  Mary Maxon ,  Eugeni Vaisberg

    IPC分类号： C12Q1/04 ,  G01N15/14 ,  G01N33/48 ,  G01N33/50 ,  G06F19/00 ,  G06K9/00 ,  G06K9/48

    CPC分类号： G06K9/0014 ,  C12Q1/04 ,  G01N15/1463 ,  G01N2015/1497 ,  G06K9/48

    摘要： An image analysis method characterizes cells based on the elongation. It analyzes an image of the cells and automatically identifies points or locations of high contrast (i.e., regions where the transition from intense signal to weak signal occurs abruptly, over a short distance). Groups of contiguous high contrast points collectively define a putative cell edge. Identified edges are then analyzed to determine whether they are elongated. In one example, edges with relatively low curvature are deemed elongated. The curvature analysis may be accomplished by calculating a shape descriptor for each edge (e.g., calculating the circular variance for each edge). One or more stages of the analysis may employ some degree of filtering, smoothing or other processing to remove certain artifacts in the image.

    摘要翻译： 图像分析方法基于伸长率来表征细胞。 它分析单元格的图像，并自动识别高对比度的点或位置（即从短时间内突然发生从强信号到弱信号的转变的区域）。 连续的高对比度组的组合共同定义推定的细胞边缘。 然后分析识别的边缘以确定它们是否伸长。 在一个示例中，具有相对低曲率的边缘被认为是伸长的。 可以通过计算每个边缘的形状描述符（例如，计算每个边缘的圆形方差）来实现曲率分析。 分析的一个或多个阶段可以采用某种程度的滤波，平滑或其他处理来去除图像中的某些伪影。

    Granularity analysis in cellular phenotypes
    5.
    发明申请
    Granularity analysis in cellular phenotypes 审中-公开
    细胞表型的粒度分析

    公开(公告)号：US20070206845A1

    公开(公告)日：2007-09-06

    申请号：US11651912

    申请日：2007-01-09

    申请人： Aibing Rao ,  Eugeni Vaisberg

    发明人： Aibing Rao ,  Eugeni Vaisberg

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06K9/00127 ,  G06K9/0014 ,  G06T7/13 ,  G06T7/155 ,  G06T2207/20036 ,  G06T2207/30024

    摘要： Methods and apparatus, including computer program products, implementing and using techniques for analyzing images of cells and extraction of biologically significant features from the cell images, such as from granules representing intercellular organelles or other features in the images. In various embodiments, the extracted features can include the number of granules, the total surface area of the granules, the mean or maximum intensities of the granules, etc. These features can be determined on a cell-by cell basis, or for particular regions within a single cell, or for various groups of cells.

    摘要翻译： 方法和装置，包括计算机程序产品，用于分析细胞图像的实施和使用技术以及从细胞图像提取生物学显着特征，例如来自代表细胞间细胞器的颗粒或图像中的其他特征。 在各种实施方案中，提取的特征可以包括颗粒的数量，颗粒的总表面积，颗粒的平均或最大强度等。这些特征可以基于逐个细胞或特定区域来确定 在单个细胞内，或用于各种细胞群。

    Domain segmentation and analysis
    7.
    发明申请
    Domain segmentation and analysis 审中-公开
    域分割和分析

    公开(公告)号：US20070202519A1

    公开(公告)日：2007-08-30

    申请号：US11651885

    申请日：2007-01-09

    申请人： Aibing Rao ,  Eugeni Vaisberg

    发明人： Aibing Rao ,  Eugeni Vaisberg

    IPC分类号： C12Q1/68 ,  G06F19/00

    CPC分类号： G06K9/00127 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/155 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/20152 ,  G06T2207/30024

    摘要： Methods and apparatus, including computer program products, implementing and using techniques for analysis of images of cells and extraction of biologically significant features from the cell images, such as features located in cell boundary regions and cell-cell junctions. 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 features that can be discovered in the cell boundary regions and cell-cell junctions of the images.

    摘要翻译： 方法和装置，包括计算机程序产品，用于分析细胞图像的实施和使用技术，以及从细胞图像（诸如位于细胞边界区域和细胞 - 细胞连接处）的特征提取生物学显着特征。 提取的特征可以与由细胞已经被处理的生物活性剂诱导的特定条件相关，从而能够基于可以在图像的细胞边界区域和细胞 - 细胞连接处发现的特征来自动分析细胞。

    Methods and apparatus for characterising cells and treatments
    10.
    发明申请
    Methods and apparatus for characterising cells and treatments 审中-公开
    用于表征细胞和治疗的方法和装置

    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。