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1.发明授权公开(公告)号：US08369600B2
公开(公告)日：2013-02-05
申请号：US12055038
申请日：2008-03-25
CPC分类号： G01N1/312 , G01N2001/368 , G01N2800/60
摘要： The present techniques provide systems and methods for registering images of tissue spots on a tissue microarray (TMA). In studies involving multiple biomarkers being studied on the same TMA, the TMA slide is removed from the microscope, stained, and then imaged, often multiple times. The present techniques relate to validation of the registration of the acquired images of the same TMA. An automatic approach to register the images and detect registration failures as provided herein may enhance the rapid analysis of the tissues. Artifacts such as tissue folding and tissue loss are also determined automatically.
摘要翻译： 本技术提供了用于在组织微阵列（TMA）上记录组织斑点的图像的系统和方法。 在涉及在相同TMA上研究的多种生物标志物的研究中，将TMA载玻片从显微镜中除去，染色，然后成像，通常多次。 本技术涉及对相同TMA的所获取的图像的注册的验证。 如本文所提供的注册图像和检测登记失败的自动方法可以增强组织的快速分析。 人工制品如组织折叠和组织损失也自动确定。
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公开(公告)号：US20090247416A1
公开(公告)日：2009-10-01
申请号：US12055121
申请日：2008-03-25
CPC分类号： G01N21/6452 , G06T7/30 , G06T2207/30072
摘要： The present techniques include methods and systems for finding correspondences between tissue spots in tissue microarray serial sections belonging to the same recipient block. The present techniques may also be used to relate individual tissue cores to clinical information. Using either a whole slide image or the relative x-y coordinates of the tissue spots on the slide, individual tissue spots in different tissue microarrays may be linked to one another and their clinical information.
摘要翻译： 本技术包括用于在属于相同受体块的组织微阵列序列区段中发现组织斑点之间的对应关系的方法和系统。 本技术还可以用于将个体组织核心与临床信息相关联。 使用整个幻灯片图像或幻灯片上组织斑点的相对x-y坐标，不同组织微阵列中的各个组织斑点可以彼此连接并且其临床信息。
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3.发明申请公开(公告)号：US20090245610A1
公开(公告)日：2009-10-01
申请号：US12055038
申请日：2008-03-25
IPC分类号： G01N33/52
CPC分类号： G01N1/312 , G01N2001/368 , G01N2800/60
摘要： The present techniques provide systems and methods for registering images of tissue spots on a tissue microarray (TMA). In studies involving multiple biomarkers being studied on the same TMA, the TMA slide is removed from the microscope, stained, and then imaged, often multiple times. The present techniques relate to validation of the registration of the acquired images of the same TMA. An automatic approach to register the images and detect registration failures as provided herein may enhance the rapid analysis of the tissues. Artifacts such as tissue folding and tissue loss are also determined automatically.
摘要翻译： 本技术提供了用于在组织微阵列（TMA）上记录组织斑点的图像的系统和方法。 在涉及在相同TMA上研究的多种生物标志物的研究中，将TMA载玻片从显微镜中除去，染色，然后成像，通常多次。 本技术涉及对相同TMA的所获取的图像的注册的验证。 如本文所提供的注册图像和检测登记失败的自动方法可以增强组织的快速分析。 人工制品如组织折叠和组织损失也自动确定。
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公开(公告)号：US08880351B2
公开(公告)日：2014-11-04
申请号：US12055121
申请日：2008-03-25
CPC分类号： G01N21/6452 , G06T7/30 , G06T2207/30072
摘要： The present techniques include methods and systems for finding correspondences between tissue spots in tissue microarray serial sections belonging to the same recipient block. The present techniques may also be used to relate individual tissue cores to clinical information. Using either a whole slide image or the relative x-y coordinates of the tissue spots on the slide, individual tissue spots in different tissue microarrays may be linked to one another and their clinical information.
摘要翻译： 本技术包括用于在属于相同受体块的组织微阵列序列区段中发现组织斑点之间的对应关系的方法和系统。 本技术还可以用于将个体组织核心与临床信息相关联。 使用整个幻灯片图像或幻灯片上组织斑点的相对x-y坐标，不同组织微阵列中的各个组织斑点可以彼此连接并且其临床信息。
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公开(公告)号：US20090245598A1
公开(公告)日：2009-10-01
申请号：US12056068
申请日：2008-03-26
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/30072
摘要： The present techniques provide fully automated methods for quantifying the location, strength and percent of expressed target molecules or other biological markers in immunohistochemically stained biological samples. The samples may be automatically segmented, for example into subcellular compartments, from images of compartmental markers. Then, the distribution of a target molecule on each of these compartments is calculated that includes the percentage and strength of expression. This is different than existing intensity or ratio based methods where abundant low expression levels are indistinguishable from scarce high expression levels.
摘要翻译： 本技术提供了完全自动化的方法，用于定量免疫组织化学染色的生物样品中表达的靶分子或其他生物标志物的位置，强度和百分比。 样品可以从分隔标记的图像中自动分割，例如分成亚细胞室。 然后，计算这些隔室中的每一个上的靶分子的分布，其包括表达的百分比和强度。 这与现有的强度或基于比例的方法不同，其中丰富的低表达水平与稀缺的高表达水平无法区分。
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公开(公告)号：US20090245611A1
公开(公告)日：2009-10-01
申请号：US12056078
申请日：2008-03-26
申请人： Ali Can , Michael John Gerdes , Musodiq Olatayo Bello , Xiaodong Tao , Francis Edward Pavan-Woolfe , Roshni Bhagalia
发明人： Ali Can , Michael John Gerdes , Musodiq Olatayo Bello , Xiaodong Tao , Francis Edward Pavan-Woolfe , Roshni Bhagalia
IPC分类号： G06K9/00
CPC分类号： G06K9/0014 , G01N21/6458
摘要： Techniques for removing image autoflourescence from fluorescently stained biological images are provided herein. The techniques utilize non-negative matrix factorization that may constrain mixing coefficients to be non-negative. The probability of convergence to local minima is reduced by using smoothness constraints. The non-negative matrix factorization algorithm provides the advantage of removing both dark current and autofluorescence.
摘要翻译： 本文提供了从荧光染色的生物图像中去除图像自动曝光的技术。 这些技术利用可以将混合系数限制为非负的非负矩阵分解。 通过使用平滑度约束来减少收敛到局部最小值的概率。 非负矩阵分解算法提供了去除暗电流和自发荧光的优点。
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公开(公告)号：US08189884B2
公开(公告)日：2012-05-29
申请号：US12056068
申请日：2008-03-26
CPC分类号： G06T7/0012 , G06T2207/30072
摘要： The present techniques provide fully automated methods for quantifying the location, strength and percent of expressed target molecules or other biological markers in immunohistochemically stained biological samples. The samples may be automatically segmented, for example into subcellular compartments, from images of compartmental markers. Then, the distribution of a target molecule on each of these compartments is calculated that includes the percentage and strength of expression. This is different than existing intensity or ratio based methods where abundant low expression levels are indistinguishable from scarce high expression levels.
摘要翻译： 本技术提供了完全自动化的方法，用于定量免疫组织化学染色的生物样品中表达的靶分子或其他生物标志物的位置，强度和百分比。 样品可以从分隔标记的图像中自动分割，例如分成亚细胞室。 然后，计算这些隔室中的每一个上的靶分子的分布，其包括表达的百分比和强度。 这与现有的强度或基于比例的方法不同，其中丰富的低表达水平与稀缺的高表达水平无法区分。
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公开(公告)号：US08135187B2
公开(公告)日：2012-03-13
申请号：US12056078
申请日：2008-03-26
申请人： Ali Can , Michael John Gerdes , Musodiq Olatayo Bello , Xiaodong Tao , Francis Edward Pavan-Woolfe , Roshni Bhagalia
发明人： Ali Can , Michael John Gerdes , Musodiq Olatayo Bello , Xiaodong Tao , Francis Edward Pavan-Woolfe , Roshni Bhagalia
CPC分类号： G06K9/0014 , G01N21/6458
摘要： Techniques for removing image autoflourescence from fluorescently stained biological images are provided herein. The techniques utilize non-negative matrix factorization that may constrain mixing coefficients to be non-negative. The probability of convergence to local minima is reduced by using smoothness constraints. The non-negative matrix factorization algorithm provides the advantage of removing both dark current and autofluorescence.
摘要翻译： 本文提供了从荧光染色的生物图像中去除图像自动曝光的技术。 这些技术利用可以将混合系数限制为非负的非负矩阵分解。 通过使用平滑度约束来减少收敛到局部最小值的概率。 非负矩阵分解算法提供了去除暗电流和自发荧光的优点。
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公开(公告)号：US08031924B2
公开(公告)日：2011-10-04
申请号：US11948205
申请日：2007-11-30
申请人： Ali Can , Michael John Gerdes , Harvey Ellis Cline
发明人： Ali Can , Michael John Gerdes , Harvey Ellis Cline
IPC分类号： G06K9/00
CPC分类号： G01N21/6458 , G01N21/6428 , G01N2021/6441
摘要： Method and systems for removing any inherent autofluorescence associated with a biological material, comprising: acquiring a first reference image of the biological material; acquiring a first set of one or more images of the biological material using one or more filters corresponding to one or more information dyes; applying the one or more additional dyes to the biological material and then acquiring a second set of one or more images comprising a separate image of the biological material with each of the filters corresponding to the information dyes and a second reference image of the biological material; coregistering the first and second reference images; and then removing any inherent autofluorescence exhibited in the informational images acquired.
摘要翻译： 用于去除与生物材料相关联的任何固有自发荧光的方法和系统，包括：获取所述生物材料的第一参考图像; 使用对应于一种或多种信息染料的一个或多个过滤器获取所述生物材料的第一组一个或多个图像; 将一种或多种另外的染料施加到生物材料上，然后获取包含生物材料的单独图像的第二组一个或多个图像，其中每个滤色器对应于信息染料和生物材料的第二参考图像; 整合第一和第二参考图像; 然后去除所获得的信息图像中显示的任何固有自发荧光。
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10.发明授权System and methods for mapping fluorescent images into a bright field color space 有权用于将荧光图像映射到亮场颜色空间的系统和方法公开(公告)号：US08269827B2
公开(公告)日：2012-09-18
申请号：US12569396
申请日：2009-09-29
申请人： Ali Can , Musodiq O Bello , Michael John Gerdes , Qing Li
发明人： Ali Can , Musodiq O Bello , Michael John Gerdes , Qing Li
CPC分类号： G01N21/6458 , G01N21/6428 , G01N21/6486 , G01N2021/6423 , G06K9/00134 , G06T5/50 , G06T2207/10056 , G06T2207/10064 , G06T2207/20221 , G06T2207/30024
摘要： A method for generating a brightfield type image, which resembles a brightfield staining protocol of a biological sample, using fluorescent images is provided. The steps comprise acquiring two or more fluorescent images of a fixed area on a biological sample, mapping said fluorescent image into a brightfield color space, and generating a bright field image. Also provided is an image analysis system for generating a brightfield type image of a biological sample using fluorescent images.
摘要翻译： 提供了使用荧光图像来生成类似于生物样品的明场染色方案的明场型图像的方法。 这些步骤包括获取生物样品上的固定区域的两个或更多个荧光图像，将所述荧光图像映射到明场色彩空间，以及生成明场图像。 还提供了一种用于使用荧光图像生成生物样品的亮场型图像的图像分析系统。
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