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    SAMPLE IMAGING AND CLASSIFICATION
    5.
    发明申请
    SAMPLE IMAGING AND CLASSIFICATION 有权
    样本成像和分类

    公开(公告)号：US20080074649A1

    公开(公告)日：2008-03-27

    申请号：US11861057

    申请日：2007-09-25

    申请人： Richard Levenson ,  Clifford Hoyt

    发明人： Richard Levenson ,  Clifford Hoyt

    IPC分类号： G01N21/00

    CPC分类号： G06K9/6289 ,  G01N21/23 ,  G01N21/31 ,  G01N21/6456 ,  G01N2021/6417 ,  G01N2021/6493

    摘要： Disclosed herein are methods and apparatus for obtaining at least one non-birefringence image and at least one birefringence image of a stained sample, and classifying regions of the stained sample into a plurality of classes based on the at least one non-birefringence image and the at least one birefringence image.

    摘要翻译： 本文公开了用于获得染色样品的至少一个非双折射图像和至少一个双折射图像的方法和装置，并且基于至少一个非双折射图像将染色样品的区域分类为多个等级， 至少一个双折射图像。

    Image Classifier Training
    8.
    发明申请
    Image Classifier Training 有权
    图像分类器训练

    公开(公告)号：US20090324051A1

    公开(公告)日：2009-12-31

    申请号：US12486718

    申请日：2009-06-17

    申请人： Clifford C. Hoyt ,  Richard Levenson

    发明人： Clifford C. Hoyt ,  Richard Levenson

    IPC分类号： G06K9/00 ,  G06K9/62

    CPC分类号： G06K9/00147 ,  G01N1/30

    摘要： Methods are disclosed that include: (a) applying a first stain to a first sample having a plurality of regions, where the first stain selectively binds to only a first subset of the regions of the first sample; (b) applying a second stain to the first sample, where the second stain binds to a second set of regions of the first sample; (c) obtaining an image of the first sample, and analyzing the image to obtain a first component image corresponding substantially only to spectral contributions from the first stain, and a second component image corresponding substantially only to spectral contributions from the second stain; and (d) training a classifier to identify regions of a second sample based on information derived from the first and second component images, the identified regions corresponding to the first subset of regions of the first sample.

    摘要翻译： 公开的方法包括：（a）将第一染色施加到具有多个区域的第一样品，其中第一染色选择性地仅结合第一样品的区域的第一子集; （b）对第一样品施加第二染色，其中第二染色结合第一样品的第二组区域; （c）获得第一样本的图像，并且分析图像以获得基本上仅对来自第一染色的光谱贡献的第一分量图像和基本上仅对应于来自第二染色的光谱贡献的第二分量图像; 和（d）训练分类器，以基于从第一和第二分量图像导出的信息识别第二样本的区域，所识别的区域对应于第一样本的区域的第一子集。

    Image classifier training
    9.
    发明授权
    Image classifier training 有权
    图像分类器训练

    公开(公告)号：US08379962B2

    公开(公告)日：2013-02-19

    申请号：US13493206

    申请日：2012-06-11

    申请人： Clifford C. Hoyt ,  Richard Levenson

    发明人： Clifford C. Hoyt ,  Richard Levenson

    IPC分类号： G06K9/00 ,  G06K9/62

    CPC分类号： G06K9/00147 ,  G01N1/30

    摘要： Methods are disclosed that include: (a) applying a first stain to a first sample having a plurality of regions, where the first stain selectively binds to only a first subset of the regions of the first sample; (b) applying a second stain to the first sample, where the second stain binds to a second set of regions of the first sample; (c) obtaining an image of the first sample, and analyzing the image to obtain a first component image corresponding substantially only to spectral contributions from the first stain, and a second component image corresponding substantially only to spectral contributions from the second stain; and (d) training a classifier to identify regions of a second sample based on information derived from the first and second component images, the identified regions corresponding to the first subset of regions of the first sample.

    摘要翻译： 公开的方法包括：（a）将第一染色施加到具有多个区域的第一样品，其中第一染色选择性地仅结合第一样品的区域的第一子集; （b）对第一样品施加第二染色，其中第二染色结合第一样品的第二组区域; （c）获得第一样本的图像，并且分析图像以获得基本上仅对来自第一染色的光谱贡献的第一分量图像和基本上仅对应于来自第二染色的光谱贡献的第二分量图像; 和（d）训练分类器，以基于从第一和第二分量图像导出的信息识别第二样本的区域，所识别的区域对应于第一样本的区域的第一子集。