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    SYSTEM AND METHOD FOR CYTOLOGICAL ANALYSIS BY RAMAN SPECTROSCOPIC IMAGING
    12.
    发明公开
    SYSTEM AND METHOD FOR CYTOLOGICAL ANALYSIS BY RAMAN SPECTROSCOPIC IMAGING 审中-公开
    系统和方法进行细胞学分析拉曼光谱图像

    公开(公告)号：EP1945794A2

    公开(公告)日：2008-07-23

    申请号：EP06837304.2

    申请日：2006-11-09

    Applicant: Chemimage Corporation

    Inventor： MAIER, John, S. ,  COHEN, Jeffrey ,  McCLELLAND, Lindy ,  STEWART, Shona

    IPC: C12Q1/00 ,  C12Q1/70 ,  C12Q1/68 ,  G06F19/00 ,  G01J3/44

    CPC classification number: G01N33/5005 ,  G01N15/1459 ,  G01N21/65 ,  G01N33/574 ,  G01N33/57407 ,  G01N2021/656

    Abstract: A method and system of differentially manipulating cells where the cells, suspended in a fluid, are irradiated with substantially monochromatic light. A Raman data set is obtained from the irradiated cells and where the data set is characteristic of a disease status. The data set is assessed to identify diseased cells. A Raman chemical image of the irradiated cells is also obtained. Based on the assessment and the Raman chemical image, the fluid in which the cells are suspended is differentially manipulated. The diseased cells are directed to a first location and other non-diseased cells are directed to a second location as part of the differential manipulation. The diseased cells may be treated with a physical stress, a chemical stress, and a iological stress and then returned to a patient from whom the diseased cells were obtained prior to the irradiation.

    RAMAN DIFFERENCE SPECTRA BASED DISEASE CLASSIFICATION
    18.
    发明公开
    RAMAN DIFFERENCE SPECTRA BASED DISEASE CLASSIFICATION 审中-公开
    疾病分类基于拉曼光谱差异

    公开(公告)号：EP2183382A1

    公开(公告)日：2010-05-12

    申请号：EP08797481.2

    申请日：2008-08-08

    Applicant: ChemImage Corporation

    Inventor： MAIER, John ,  COHEN, Jeffrey ,  STEWART, Shona

    IPC: C12Q1/00

    CPC classification number: G06K9/00127

    Abstract: A method to diagnosis disease states of unknown samples is provided wherein a test Raman date set for unknown samples is generated A reference Raman database is also 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 First and second reference Raman data sets are associated with first and second known samples and associated with one or more of first and second known disease states and first and second known clinical outcomes A diagnosis is provided of whether the unknown sample has first or second disease states by comparing the test Raman data set to said plurality of reference Raman difference data sets in the reference Raman database using a chemometπc technique

    CYTOLOGICAL METHODS FOR DETECTING A DISEASE CONDITION SUCH AS MALIGNANCY BY RAMAN SPECTROSCOPIC IMAGING
    19.
    发明公开
    CYTOLOGICAL METHODS FOR DETECTING A DISEASE CONDITION SUCH AS MALIGNANCY BY RAMAN SPECTROSCOPIC IMAGING 审中-公开
    用于疾病状态的检测的细胞学方法，如恶性肿瘤BY拉曼光谱成像

    公开(公告)号：EP1913349A2

    公开(公告)日：2008-04-23

    申请号：EP06784627.9

    申请日：2006-06-06

    Applicant: Chemimage Corporation

    Inventor： MAIER, John, S. ,  STEWART, Shona ,  TREADO, Patrick, J.

    IPC: G01J3/44 ,  A61B6/00

    CPC classification number: G01N21/65 ,  G01N2021/656

    Abstract: Raman molecular imaging (RMI) is used to detect mammalian cells of a particular phenotype. For example the disclosure includes the use of RMI to differentiate between normal and diseased cells or tissues, e.g., cancer cells as well as in determining the grade of said cancer cells. In a preferred embodiment benign and malignant lesions of bladder and other tissues can be distinguished, including epithelial tissues such as lung, prostate, kidney, breast, and colon, and non-epithelial tissues, such as bone marrow and brain. Raman scattering data relevant to the disease state of cells or tissue can be combined with visual image data to produce hybrid images which depict both a magnified view of the cellular structures and information relating to the disease state of the individual cells in the field of view. Also, RMI techniques may be combined with visual image data and validated with other detection methods to produce confirm the matter obtained by RMI.

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