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    System and Method for Drug Detection Using SWIR
    4.
    发明申请
    System and Method for Drug Detection Using SWIR 审中-公开
    使用SWIR进行药物检测的系统和方法

    公开(公告)号：US20140043488A1

    公开(公告)日：2014-02-13

    申请号：US14055509

    申请日：2013-10-16

    Applicant: ChemImage Corporation

    Inventor： Patrick Treado ,  Matthew Nelson ,  Charles Gardner

    IPC: G01N33/15

    CPC classification number: G01N33/15 ,  G01J3/02 ,  G01J3/0218 ,  G01J3/027 ,  G01J3/0278 ,  G01J3/44 ,  G01N21/359 ,  G01N33/0057

    Abstract: A method for detecting unknown materials, such as drugs. A first location is surveyed using a video capture device to identify a second location comprising an unknown material. The second location is interrogated using SWIR spectroscopic and/or imaging methods to generate a SWIR hyperspectral image. The SWIR hyperspectral image is analyzed to associate the unknown material with a known drug material. A system for detecting unknown materials, such as drugs comprising a first collection lens for collecting interacted photons from a first location and a visible imaging device for generating a visible image. A second collection lens may collect a plurality of interacted photons from a second location and a tunable filter may filter the interacted photons. A spectroscopic imaging device may detect the interacted photons and generate a SWIR hyperspectral image. A processor may analyze the SWIR hypespectral image to associate an unknown material with a known material.

    Abstract translation: 检测未知物质如药物的方法。 使用视频捕获设备来测量第一位置以识别包括未知材料的第二位置。 使用SWIR光谱和/或成像方法询问第二个位置以产生SWIR高光谱图像。 分析SWIR高光谱图像以将未知材料与已知药物材料相关联。 一种用于检测未知材料的系统，例如药物，其包括用于从第一位置收集相互作用的光子的第一收集透镜和用于产生可见图像的可见成像装置。 第二采集透镜可以从第二位置收集多个相互作用的光子，并且可调谐滤光器可以过滤相互作用的光子。 光谱成像装置可以检测相互作用的光子并产生SWIR高光谱图像。 处理器可以分析SWIR超光谱图像以将未知材料与已知材料相关联。

    Molecular chemical imaging endoscopic imaging systems
    5.
    发明授权
    Molecular chemical imaging endoscopic imaging systems 有权

    公开(公告)号：US10779713B2

    公开(公告)日：2020-09-22

    申请号：US15932435

    申请日：2015-12-09

    Applicant: ChemImage Corporation

    Inventor： Patrick Treado ,  Matthew Nelson ,  Shona Stewart

    IPC: A61B1/07 ,  A61B1/04 ,  A61B1/06 ,  A61B1/307 ,  A61B1/00

    Abstract: The instant disclosure provides for medical imaging systems that may be used in conjunction with an intraoperative medical device, such as an endoscope. Generally, the disclosed medical imaging systems include an illumination source configured to generate illuminating photons for illuminating a biological sample. An optical signal modulator is configured to separate one or more of the illuminating photons and photons that have interacted with the biological sample into a first optical signal having first multi-passband wavelengths and a second optical signal having second multi-passband wavelengths. At least one detector is configured to detect one or more of the first optical signal and the second optical signal and generate at least one image data set. A processor is configured to analyze the at least one image data set. In some embodiments, the processor is configured to differentiate between structures of the biological sample, such as between an ureter and surrounding tissue.

    SYSTEM AND METHOD FOR SERUM BASED CANCER DETECTION
    6.
    发明申请
    SYSTEM AND METHOD FOR SERUM BASED CANCER DETECTION 审中-公开
    基于血清的癌症检测系统及方法

    公开(公告)号：US20150294076A1

    公开(公告)日：2015-10-15

    申请号：US14440987

    申请日：2013-11-06

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

    Inventor： Patrick Treado ,  Shona Stewart ,  Heather Kirschner ,  Ryan Priore ,  Alan Wilson

    IPC: G06F19/00 ,  G06F19/24 ,  G01N21/65 ,  G01N33/49

    CPC classification number: G16H50/20 ,  G01J3/1804 ,  G01J3/44 ,  G01J3/4406 ,  G01N21/65 ,  G01N33/49 ,  G01N33/57419 ,  G16B40/00

    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。 该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分析样本。

    System and method for safer detection of unknown materials using dual polarized hyperspectral imaging and Raman spectroscopy
    7.
    发明授权
    System and method for safer detection of unknown materials using dual polarized hyperspectral imaging and Raman spectroscopy 有权
    使用双偏振高光谱成像和拉曼光谱法更安全地检测未知材料的系统和方法

    公开(公告)号：US08743358B2

    公开(公告)日：2014-06-03

    申请号：US13842098

    申请日：2013-03-15

    Applicant: ChemImage Corporation

    Inventor： Patrick Treado ,  Matthew Nelson ,  Charles Gardner

    IPC: G01J3/28

    CPC classification number: G01N21/65 ,  G01J3/02 ,  G01J3/0221 ,  G01J3/0224 ,  G01J3/32 ,  G01J3/44 ,  G01N21/17 ,  G01N21/21 ,  G01N21/314 ,  G01N21/33 ,  G01N21/35 ,  G01N21/3581 ,  G01N21/359 ,  G02B21/0092 ,  G02B21/16 ,  G02B21/361

    Abstract: A first location comprising an unknown material may be scanned using SWIR hyperspectral imaging in a dual polarization configuration. Surveying may also be applied to thereby determine whether or not a human is present. This surveying may be achieved my assessing LWIR data, data acquired from motion sensors, and combinations thereof. If no human is present, a second location may be interrogated using Raman spectroscopic techniques to thereby obtain a Raman data set representative of the region of interest. This Raman data set may be assessed to associate an unknown material with a known material. This assessment may be achieved by comparing the Raman data set to one or more reference data sets in a reference database, where each reference data set is associated with a known material.

    Abstract translation: 包含未知材料的第一位置可以使用双极化配置中的SWIR高光谱成像进行扫描。 还可以进行测量，从而确定人是否存在。 本次测量可能会实现我对LWIR数据的评估，运动传感器获取的数据及其组合。 如果不存在人，则可以使用拉曼光谱技术询问第二位置，从而获得表示感兴趣区域的拉曼数据集。 可以评估该拉曼数据集以将未知材料与已知材料相关联。 可以通过将拉曼数据集与参考数据库中的一个或多个参考数据集进行比较来实现该评估，其中每个参考数据集与已知材料相关联。

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