公开(公告)号：WO2009035946A1

公开(公告)日：2009-03-19

申请号：PCT/US2008/075609

申请日：2008-09-08

Applicant: CHEMIMAGE CORPORATION ,  MAIER, John ,  COHEN, Jeffrey ,  STEWART, Shona

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

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

CPC classification number: G01J3/02 ,  A61B5/0059 ,  A61B5/417 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/28 ,  G01J3/2823 ,  G01J3/36 ,  G01J3/44 ,  G01J2003/2826 ,  G01N21/65 ,  G01N33/57415 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296 ,  Y02A90/26

Abstract: A system and method to provide a diagnosis of the breast disease state of a test breast sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known breast sample and an associated known breast disease state. A test breast sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a breast disease state of the test breast sample is provided. The breast disease state includes invasive ductal carcinoma or invasive lobular carcinoma disease state.

Abstract translation: 一种用于提供测试乳房样品的乳腺疾病状态诊断的系统和方法。 提供了包含多个参考拉曼数据集的数据库，其中每个参考拉曼数据集具有相关联的已知乳房样本和相关联的已知乳腺疾病状态。 用基本上单色的光照射测试乳房样品以产生散射光子，得到测试拉曼数据集。 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。 基于比较，提供了测试乳房样品的乳腺疾病状态的诊断。 乳腺疾病状态包括浸润性导管癌或侵袭性小叶癌疾病状态。

公开(公告)号：WO2008100582A9

公开(公告)日：2008-08-21

申请号：PCT/US2008/001988

申请日：2008-02-14

Applicant: CHEMIMAGE CORPORATION ,  MAIER, John ,  COHEN, Jeffrey ,  PANZA, Janice, L. ,  STEWART, Shona ,  DRAUGH, Amy, J.

Inventor： MAIER, John ,  COHEN, Jeffrey ,  PANZA, Janice, L. ,  STEWART, Shona ,  DRAUGH, Amy, J.

IPC: C12Q1/00

Abstract: A system and method to predict the progression of disease of a test sample is provided A group of known biological samples is provided, each having an associated known outcome including a non-diseased or diseased sample. A Raman data set is obtained for each known biological sample. Each data set is analyzed to identify a diseased or non-diseased reference data set. A first database is generated which contains reference Raman data sets for all diseased samples. A second-database is generated which contains reference data sets for all non-diseased samples. A test Raman data set of a test biological sample having an unknown disease status is received. A diagnostic is provided as to whether the test sample is non-diseased or diseased The diagnostic is obtained by comparing the test data set against the reference data sets in the databases using a chemometric technique to predict the progression of disease.

公开(公告)号：WO2006091853A2

公开(公告)日：2006-08-31

申请号：PCT/US2006/006663

申请日：2006-02-24

Applicant: CHEMIMAGE CORPORATION ,  MAIER, John, S. ,  STEWART, Shona ,  COHEN, Jeffrey ,  NELSON, Matthew

Inventor： MAIER, John, S. ,  STEWART, Shona ,  COHEN, Jeffrey ,  NELSON, Matthew

IPC: A61B6/00 ,  A61B18/18 ,  G01J3/44 ,  G01J3/40 ,  A61B5/00

CPC classification number: G01N21/65 ,  A61B5/0075 ,  A61B5/0084 ,  G01N2021/6484 ,  G01N2021/656 ,  G01N2201/08

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2021231967A1

公开(公告)日：2021-11-18

申请号：PCT/US2021/032613

申请日：2021-05-14

Applicant: CHEMIMAGE CORPORATION ,  STEWART, Shona ,  GOMER, Heather ,  SAMIEI, Arash ,  DARR, Marlena

Inventor： STEWART, Shona ,  GOMER, Heather ,  SAMIEI, Arash ,  DARR, Marlena

IPC: G01N21/31

Abstract: Systems and methods designed to determine tumor histological subtypes in order to guide a surgical procedure. The systems and methods illuminate biological tissue in order to generate a plurality of interacted photons, collect the interacted photons, detect the plurality of a interacted photons to generate at least one hyperspectral image, and analyze a hyperspectral image by extracting a spectrum from a location in the hyperspectral image. The location should correspond to an area that is of interest in the biological tissue.

公开(公告)号：WO2014074569A1

公开(公告)日：2014-05-15

申请号：PCT/US2013/068671

申请日：2013-11-06

Applicant: CHEMIMAGE CORPORATION ,  TREADO, Patrick ,  STEWART, Shona ,  KIRSCHNER, Heather ,  PRIORE, Ryan ,  WILSON, Alan

Inventor： TREADO, Patrick ,  STEWART, Shona ,  KIRSCHNER, Heather ,  PRIORE, Ryan ,  WILSON, Alan

IPC: G01N33/574 ,  G01N33/48 ,  G01N33/53

CPC classification number: G06F19/345 ,  G01J3/1804 ,  G01J3/44 ,  G01J3/4406 ,  G01N21/65 ,  G01N33/49 ,  G01N33/57419 ,  G06F19/24 ,  G16H50/20

Abstract: A system and method for analyzing biological samples, such as dried human blood serum, to determine a disease state such as colorectal cancer (CRC). Using dried samples may hold potential for enhancing localized concentration and/or segmentation of sample components. The method may comprise illuminating at least one location of a biological sample to generate a plurality of interacted photons, collecting the interacted photons and generating at least one Raman data set representative of the biological sample. A system may comprise an illumination source to illuminate at least one location of a biological sample and generate at least one plurality of interacted photons, at least one mirror for directing the interacted photons to a detector. The detector may be configured to generate at least one Raman data set representative of the biological sample. The system and method may utilize a FAST device for multipoint analysis or may be configured to analyze a sample using a line scanning configuration.

Abstract translation: 用于分析诸如干人血清的生物样品以确定诸如结肠直肠癌（CRC）的疾病状态的系统和方法。 使用干燥的样品可能具有增强样品组分的局部浓度和/或分割的潜力。 该方法可以包括照射生物样品的至少一个位置以产生多个相互作用的光子，收集相互作用的光子并产生代表生物样品的至少一个拉曼数据集。 系统可以包括照明源以照亮生物样品的至少一个位置并且生成至少一个多个相互作用的光子，至少一个反射镜，用于将相互作用的光子引导到检测器。 检测器可以被配置为产生代表生物样品的至少一个拉曼数据集。 系统和方法可以利用FAST设备进行多点分析，或者可以配置为使用线扫描配置来分析样本。

公开(公告)号：WO2007056560A3

公开(公告)日：2007-05-18

申请号：PCT/US2006/043755

申请日：2006-11-09

Applicant: CHEMIMAGE CORPORATION ,  MAIER, John, S. ,  COHEN, Jeffrey ,  McCLELLAND, Lindy ,  STEWART, Shona

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

IPC: C12Q1/28 ,  C40B30/06 ,  C40B40/08 ,  C40B50/06 ,  G01N21/00 ,  A61K48/00 ,  G01N33/53

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.

公开(公告)号：WO2021262844A1

公开(公告)日：2021-12-30

申请号：PCT/US2021/038674

申请日：2021-06-23

Applicant: CHEMIMAGE CORPORATION ,  TREADO, Patrick, J. ,  GOMER, Heather, E. ,  STEWART, Shona ,  SMITH, Aaron, G.

Inventor： TREADO, Patrick, J. ,  GOMER, Heather, E. ,  STEWART, Shona ,  SMITH, Aaron, G.

IPC: H04N5/33 ,  A61B5/00 ,  G01N33/483 ,  A61B5/1455 ,  A61B5/0261

Abstract: Methods for improved tissue perfusion monitoring are disclosed. A method includes collecting hyperspectral image data from an image sensor positioned to collect interacted photons from a tissue region resulting from illumination of the tissue sample at a plurality of wavelengths in the visible, near infrared, or shortwave infrared regions. Hypercubes are generated based on the collected hyperspectral image data. The hypercubes are analyzed to identify one or more of the plurality of wavelengths resulting in contrast in the hyperspectral images. One or more regions in the tissue region with altered perfusion states are identified based on the contrast in the hyperspectral images. A tissue perfusion monitoring computing device and non-transitory medium are also disclosed.

公开(公告)号：WO2021236615A1

公开(公告)日：2021-11-25

申请号：PCT/US2021/032931

申请日：2021-05-18

Applicant: CHEMIMAGE CORPORATION ,  STEWART, Shona ,  SMITH, Aaron ,  TREADO, Patrick, J.

Inventor： STEWART, Shona ,  SMITH, Aaron ,  TREADO, Patrick, J.

IPC: A61B17/24

Abstract: Methods and systems of identifying oral cancer in vivo are disclosed. An oral cavity of a patient is illuminated with a plurality of illuminating photons. A plurality of interacted photos are received from the oral cavity. The interacted photons may have been absorbed, reflected, scattered or emitted by the oral cavity. The interacted photons are filtered into first and second polarized multi-passband wavelengths using first and second tunable conformal filters, respectively. A detector captures the first and second polarized multi-passband wavelengths. A processor automatically discriminates between cancerous tissue and non-cancerous tissue in an image resolved from the first and second polarized multi-passband wavelengths.

公开(公告)号：WO2020037315A1

公开(公告)日：2020-02-20

申请号：PCT/US2019/047064

申请日：2019-08-19

Applicant: CHEMIMAGE CORPORATION

Inventor： COHEN, Jeffrey ,  TREADO, Patrick ,  STEWART, Shona ,  GOMER, Heather ,  SAMIEI, Arash ,  ZRIMSEK, Alyssa ,  WANG, Jihang

IPC: A61B1/07 ,  A61B90/30

Abstract: Systems and methods for the detection of calculi in the biliary system are disclosed. The systems include an illumination source, one or more filters that filter a first set of illumination photons and a second set of illumination photons, as well as associated processors and detectors. The system is also designed to generates image data sets and generated information related to the location of the calculi.

公开(公告)号：WO2009021178A1

公开(公告)日：2009-02-12

申请号：PCT/US2008/072617

申请日：2008-08-08

Applicant: CHEMIMAGE CORPORATION ,  MAIER, John ,  COHEN, Jeffrey ,  STEWART, Shona

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

Abstract translation: 提供了一种用于诊断未知样品的疾病状态的方法，其中生成针对未知样品的测试拉曼日期。还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。第一和第二参考拉曼数据集与第一和第二已知样本相关联，并与第一和第二参考拉曼数据集中的一个或多个相关联 已知疾病状态和第一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本是否具有第一或第二疾病状态的诊断