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    System and Method for Analyzing Biological Samples Using Raman Molecular Imaging
    11.
    发明申请
    System and Method for Analyzing Biological Samples Using Raman Molecular Imaging 有权
    使用拉曼分子成像分析生物样品的系统和方法

    公开(公告)号：US20100280762A1

    公开(公告)日：2010-11-04

    申请号：US12834370

    申请日：2010-07-12

    申请人： John Maier ,  Shona Stewart ,  Jeffrey Cohen

    发明人： John Maier ,  Shona Stewart ,  Jeffrey Cohen

    IPC分类号： G01J3/44 ,  G06F19/00 ,  G01N33/48

    CPC分类号： G01J3/10 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/417 ,  A61B5/7264 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/32 ,  G01J3/44 ,  G01J2003/2826 ,  G01N21/65 ,  G01N21/658 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296 ,  G02B21/365 ,  G06F19/00 ,  G16H50/70

    摘要： A system and method for determining at least one of: a disease state, a metabolic state, a clinical outcome, and a disease progression of a test renal or prostate sample. A test Raman data set is obtained from the sample wherein said test Raman data set may comprise at least one of a plurality of Raman spectra and a plurality of spatially accurate wavelength resolved Raman images. The test Raman data set is compared to a plurality of reference Raman data sets using a chemometric technique. For analysis of renal samples, each of these reference Raman data sets may have an associated known renal sample and an associated known metabolic state, clinical outcome, and/or disease progression. For analysis of prostate samples, each of these reference Raman data sets may have an associated known prostate sample and an associated known disease state, metabolic state, clinical outcome, and/or disease progression.

    摘要翻译： 用于确定测试的肾或前列腺样品的疾病状态，代谢状态，临床结果和疾病进展中的至少一个的系统和方法。 从样品获得测试拉曼数据集，其中所述测试拉曼数据集可以包括多个拉曼光谱和多个空间上准确的波长分辨拉曼图像中的至少一个。 使用化学计量技术将测试拉曼数据集与多个参考拉曼数据集进行比较。 对于肾样品的分析，这些参考拉曼数据集中的每一个可以具有相关联的已知肾样品和相关联的已知代谢状态，临床结果和/或疾病进展。 对于前列腺样品的分析，这些参考拉曼数据集中的每一个可以具有相关联的已知前列腺样品和相关的已知疾病状态，代谢状态，临床结果和/或疾病进展。

    Method of chemical imaging to determine tissue margins during surgery
    15.
    发明授权
    Method of chemical imaging to determine tissue margins during surgery 有权
    化学成像方法来确定手术中的组织边缘

    公开(公告)号：US07596404B2

    公开(公告)日：2009-09-29

    申请号：US11361256

    申请日：2006-02-24

    申请人： John S. Maier ,  Shona Stewart ,  Jeffrey Cohen ,  Matthew Nelson

    发明人： John S. Maier ,  Shona Stewart ,  Jeffrey Cohen ,  Matthew Nelson

    IPC分类号： A61B6/00

    CPC分类号： G01N21/65 ,  A61B5/0075 ,  A61B5/0084 ,  G01N2021/6484 ,  G01N2021/656 ,  G01N2201/08

    摘要： A method and system to differentiate a tissue margins during various medical procedures. A region containing a biological tissue is irradiated, with a substantially monochromatic light. Raman spectroscopic data is obtained from the irradiated region. A boundary between a neoplastic portion and a non-neoplastic portion, in the region containing the biological tissue, is differentiated by evaluating the Raman spectroscopic data for at least one Raman spectroscopic value characteristic of either the neoplastic portion or the non-neoplastic portion. The neoplastic portion is selected for physical manipulation based on the differentiation of the boundary between the neoplastic portion and the non-neoplastic portion.

    摘要翻译： 在各种医疗过程中区分组织边缘的方法和系统。 用基本上单色的光照射含有生物组织的区域。 从照射区域获得拉曼光谱数据。 在包含生物组织的区域中的肿瘤部分和非肿瘤部分之间的边界通过评估肿瘤部分或非肿瘤部分的至少一个拉曼光谱值特征的拉曼光谱数据来区分。 基于肿瘤部分和非肿瘤部分之间的边界的分化，选择肿瘤部分用于物理操作。

    Cytological analysis by raman spectroscopic imaging
    16.
    发明授权
    Cytological analysis by raman spectroscopic imaging 有权
    通过拉曼光谱成像进行细胞学分析

    公开(公告)号：US08553732B2

    公开(公告)日：2013-10-08

    申请号：US12755463

    申请日：2010-06-23

    申请人： John Maier ,  Joseph Demuth ,  Jeffrey Cohen ,  Shona Stewart ,  Lindy McClelland

    发明人： John Maier ,  Joseph Demuth ,  Jeffrey Cohen ,  Shona Stewart ,  Lindy McClelland

    IPC分类号： H01S3/00

    CPC分类号： A61B5/0084 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/415 ,  A61B5/417 ,  A61B5/418 ,  A61B5/4519 ,  G01N21/65

    摘要： A method for generating an image of a sample that is informative of the disease state of a cell in the sample. A sample including the cell is irradiated with monochromatic light. The Raman scattered light is assessed. A digital brightfield image of the Raman scattered light is generated and combined with the Raman scattered light emitted by the cell whereby the Raman scattered light is informative of the disease state of the cell in the sample. The method can also be used to determine the metabolic activity of the cell, the inflammatory status of the cell and/or the infected status of the cell in the sample.

    摘要翻译： 一种产生样品图像的方法，其用于提供样品中细胞的疾病状态。 用单色光照射包含电池的样品。 评估拉曼散射光。 产生拉曼散射光的数字明场图像，并与细胞发射的拉曼散射光组合，由此拉曼散射光提供样品中细胞的疾病状态。 该方法还可以用于确定细胞的代谢活性，细胞的炎性状态和/或样品中细胞的感染状态。

    Raman difference spectra based disease classification
    18.
    发明授权
    Raman difference spectra based disease classification 有权
    基于拉曼差分谱的疾病分类

    公开(公告)号：US08013991B2

    公开(公告)日：2011-09-06

    申请号：US12188796

    申请日：2008-08-08

    申请人： John Maier ,  Jeffrey Cohen ,  Shona Stewart

    发明人： John Maier ,  Jeffrey Cohen ,  Shona Stewart

    IPC分类号： G01J3/44 ,  G01N21/65

    CPC分类号： G06K9/00127

    摘要： A method to diagnosis a disease state of an unknown sample. A test Raman data set for an unknown sample is generated. A reference Raman database is provided where the database contains a plurality of reference Raman data sets and a plurality of reference Raman difference data sets. The reference Raman difference data set is generated by determining a difference between a first reference Raman data set and a second reference Raman data set. A first reference Raman data set is associated with first known sample and associated with one or more of: a first known disease state and a first known clinical outcome. A second reference Raman data set is associated with a second known sample and associated with one or more of: a second known disease state and a second known clinical outcome. A diagnosis is provided of whether the unknown sample has a first disease state or a second disease state by comparing the test Raman dataset to said plurality of reference Raman difference data sets in the reference Raman database using a chemometric technique.

    摘要翻译： 诊断未知样本疾病状态的方法。 生成未知样品的测试拉曼数据集。 提供了参考拉曼数据库，其中数据库包含多个参考拉曼数据集和多个参考拉曼差异数据集。 通过确定第一参考拉曼数据集和第二参考拉曼数据集之间的差异来生成参考拉曼差异数据集。 第一参考拉曼数据集与第一已知样品相关联并且与以下中的一个或多个相关联：第一已知疾病状态和第一已知临床结果。 第二参考拉曼数据集与第二已知样品相关联并且与以下中的一个或多个相关联：第二已知疾病状态和第二已知临床结果。 通过使用化学计量技术将参考拉曼数据库中的测试拉曼数据集与所述多个参考拉曼差异数据集进行比较来提供未知样品是否具有第一疾病状态或第二疾病状态的诊断。

    RAMAN DIFFERENCE SPECTRA BASED DISEASE CLASSIFICATION
    19.
    发明申请
    RAMAN DIFFERENCE SPECTRA BASED DISEASE CLASSIFICATION 有权
    拉曼差异谱分类疾病分类

    公开(公告)号：US20090040517A1

    公开(公告)日：2009-02-12

    申请号：US12188796

    申请日：2008-08-08

    申请人： John Maier ,  Jeffrey Cohen ,  Shona Stewart

    发明人： John Maier ,  Jeffrey Cohen ,  Shona Stewart

    IPC分类号： G01N21/65 ,  G01J3/44

    CPC分类号： G06K9/00127

    摘要： A method to diagnosis a disease state of an unknown sample. A test Raman data set for an unknown sample is generated. A reference Raman database is provided where the database contains a plurality of reference Raman data sets and a plurality of reference Raman difference data sets. The reference Raman difference data set is generated by determining a difference between a first reference Raman data set and a second reference Raman data set. A first reference Raman data set is associated with first known sample and associated with one or more of: a first known disease state and a first known clinical outcome. A second reference Raman data set is associated with a second known sample and associated with one or more of: a second known disease state and a second known clinical outcome. A diagnosis is provided of whether the unknown sample has a first disease state or a second disease state by comparing the test Raman dataset to said plurality of reference Raman difference data sets in the reference Raman database using a chemometric technique.

    摘要翻译： 诊断未知样本疾病状态的方法。 生成未知样品的测试拉曼数据集。 提供了参考拉曼数据库，其中数据库包含多个参考拉曼数据集和多个参考拉曼差异数据集。 通过确定第一参考拉曼数据集和第二参考拉曼数据集之间的差异来生成参考拉曼差异数据集。 第一参考拉曼数据集与第一已知样品相关联并且与以下中的一个或多个相关联：第一已知疾病状态和第一已知临床结果。 第二参考拉曼数据集与第二已知样品相关联并且与以下中的一个或多个相关联：第二已知疾病状态和第二已知临床结果。 通过使用化学计量技术将参考拉曼数据库中的测试拉曼数据集与所述多个参考拉曼差异数据集进行比较来提供未知样品是否具有第一疾病状态或第二疾病状态的诊断。