公开(公告)号：US07246012B2

公开(公告)日：2007-07-17

申请号：US10892450

申请日：2004-07-16

Applicant: Vadim Kutsyy ,  Daniel A. Coleman ,  Eugeni A. Vaisberg

Inventor： Vadim Kutsyy ,  Daniel A. Coleman ,  Eugeni A. Vaisberg

IPC: G06K9/00 ,  G01N33/48

CPC classification number: G06K9/6274 ,  G06K9/00147 ,  G06K9/00536

Abstract: A method for calculating distances between stimulus response curves (e.g., dose response curves) allows classification of stimuli. The response curves show how the phenotype of one or more cells changes in response to varying levels of the stimulus. Each “point” on the curve represents quantitative phenotype or signature for cell(s) at a particular level of stimulus (e.g., dose of a therapeutic). The signatures are multivariate phenotypic representations of the cell(s). They include various features of the cell(s) obtained by image analysis. To facilitate the comparison of stimuli, distances between points on the response curves are calculated. First, the response curves may be aligned on a coordinate representing a separate distance, r, from a common point of negative control (e.g., the point where no stimulus is applied). Integration on r may be used to compute the distance between two response curves. The distance between response curves is used to classify stimuli.

Abstract translation: 用于计算刺激响应曲线（例如，剂量响应曲线）之间的距离的方法允许对刺激进行分类。 响应曲线显示了一种或多种细胞的表型如何响应刺激的不同水平而改变。 曲线上的每个“点”表示特定刺激水平（例如，治疗剂的剂量）的细胞的定量表型或特征。 签名是细胞的多变量表型表达。 它们包括通过图像分析获得的细胞的各种特征。 为了促进刺激的比较，计算响应曲线上的点之间的距离。 首先，响应曲线可以在表示来自负控制的公共点（例如，不施加刺激的点）的单独距离r的坐标上对准。 可以使用r上的积分来计算两个响应曲线之间的距离。 响应曲线之间的距离用于对刺激进行分类。

公开(公告)号：US20090034822A1

公开(公告)日：2009-02-05

申请号：US12130850

申请日：2008-05-30

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

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

IPC: G06K9/00

CPC classification number: G06K9/0014 ,  G06T7/0012 ,  G06T2207/30024

Abstract: 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.

Abstract translation: 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：US06876760B1

公开(公告)日：2005-04-05

申请号：US09729754

申请日：2000-12-04

Applicant: Eugeni A. Vaisberg ,  Daniel A. Coleman

Inventor： Eugeni A. Vaisberg ,  Daniel A. Coleman

IPC: G06K9/00 ,  G06T5/00 ,  G06T7/60

CPC classification number: G06K9/0014 ,  G06T7/11 ,  G06T7/60 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/30024

Abstract: Image analysis methods analyze images of cells and place the cells in particular cell cycle phases based upon certain features extracted from the images. The methods can also quantify the total amount of DNA in a cell based on specific features such as fluorescence intensity from fluorescent molecules that bind to DNA. Further, the methods can characterize a cell as mitotic or interphase based on chosen parameters such as the variance in intensity observed in a cell image and/or the size of a region containing DNA. In one example, image analysis methods can classify the cell into one of the following five phases: G1, S, G2, telophase, and an early stage mitotic phase comprised of prophase, metaphase, and anaphase.

Abstract translation: 图像分析方法基于从图像提取的特征，分析细胞的图像并将细胞置于特定的细胞周期阶段。 该方法还可以基于特异性特征（例如来自结合DNA的荧光分子的荧光强度）来量化细胞中DNA的总量。 此外，所述方法可以基于所选择的参数（例如在细胞图像中观察到的强度变化）和/或含有DNA的区域的大小来表征细胞作为有丝分裂或间期。 在一个实例中，图像分析方法可以将细胞分为以下五个阶段之一：G1，S，G2，端粒酶，以及由前期，中期和后期组成的早期有丝分裂期。

公开(公告)号：US07218764B2

公开(公告)日：2007-05-15

申请号：US11097451

申请日：2005-04-01

Applicant: Eugeni A. Vaisberg ,  Daniel A. Coleman

Inventor： Eugeni A. Vaisberg ,  Daniel A. Coleman

IPC: G06K9/00

CPC classification number: G01N33/5005

Abstract: Image analysis methods and apparatus are used for determination of the ploidy of cells. The methods may involve segmenting an image to identify one or more discrete regions occupied by cells or nuclei, determining the presence of a particular ploidy indicator feature within the region(s), and providing a value of the indicator feature to a model that classifies cells' ploidy on the basis of the indicator feature. In some embodiments, the indicator feature is a level of DNA in a cell. In certain embodiments, the method further comprises treating one or more cells with a marker that highlights the ploidy indicator feature. In certain embodiments, the cells are treated prior to producing one or more images of the one or more cells. In certain embodiments, the ploidy indicator feature comprises DNA and the marker co-locates with DNA and provides a signal that is captured in the image. In certain embodiments, the signal comprises a fluorescent emission.

Abstract translation: 图像分析方法和装置用于确定细胞的倍性。 所述方法可以包括分割图像以识别由单元或核占据的一个或多个离散区域，确定区域内特定倍性指示符特征的存在，以及将指示符特征的值提供给将细胞分类的模型 在指标特征的基础上进行倍性。 在一些实施方案中，指示剂特征是细胞中的DNA水平。 在某些实施方案中，所述方法还包括用突出所述倍性指示物特征的标记物处理一个或多个细胞。 在某些实施方案中，在产生一个或多个细胞的一个或多个图像之前处理细胞。 在某些实施方案中，倍性指示物特征包括DNA，并且标记物与DNA共定位并提供在图像中捕获的信号。 在某些实施例中，信号包括荧光发射。