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

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.