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    Method and apparatus for spectral modulation compensation
    31.
    发明申请
    Method and apparatus for spectral modulation compensation 有权
    光谱调制补偿的方法和装置

    公开(公告)号：US20060001867A1

    公开(公告)日：2006-01-05

    申请号：US10879632

    申请日：2004-06-30

    Applicant: John Maier ,  Jason Neiss ,  Shona Stewart ,  Matthew Nelson ,  Joseph Demuth ,  Patrick Treado

    Inventor： John Maier ,  Jason Neiss ,  Shona Stewart ,  Matthew Nelson ,  Joseph Demuth ,  Patrick Treado

    IPC: G01J3/44 ,  G01N21/65

    CPC classification number: G01N21/65 ,  G01J3/0297 ,  G01J3/44 ,  G01N2021/656

    Abstract: The embodiments disclosed herein generally relate to identifying and removing background noise in spectroscopic imaging of a sample. Because white-light has essentially constant intensity at every wavelength, background noise caused by white light can be identified and removed from spectroscopic measurements including Raman spectroscopy. Thus, once the Raman spectrum for a sample is obtained, it may be corrected to remove the white-light dispersive spectrum in accordance with the embodiments disclosed herein.

    Abstract translation: 本文公开的实施例通常涉及在样本的光谱成像中识别和去除背景噪声。 因为白光在每个波长处具有基本恒定的强度，所以可以从包括拉曼光谱的光谱测量中识别和去除由白光引起的背景噪声。 因此，一旦获得样品的拉曼光谱，就可以根据本文公开的实施方案来校正其去除白光色散谱。

    SYSTEM AND METHOD FOR SERUM BASED CANCER DETECTION
    34.
    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 combined raman, SWIR and LIBS detection
    35.
    发明授权
    System and method for combined raman, SWIR and LIBS detection 有权
    组合拉曼，SWIR和LIBS检测的系统和方法

    公开(公告)号：US08582089B2

    公开(公告)日：2013-11-12

    申请号：US12899119

    申请日：2010-10-06

    Applicant: Matthew Nelson ,  Patrick Treado ,  Charles W Gardner, Jr.

    Inventor： Matthew Nelson ,  Patrick Treado ,  Charles W Gardner, Jr.

    IPC: G01N21/00

    CPC classification number: G01J3/02 ,  G01J3/0221 ,  G01J3/0264 ,  G01J3/2823 ,  G01J3/36 ,  G01J3/44 ,  G01N21/359 ,  G01N21/65 ,  G01N21/718 ,  G01N33/227 ,  G01N2021/1738 ,  G01N2021/174 ,  G01N2021/1744

    Abstract: A system and method for the detection and identification of explosives and explosive residues using a combination of SWIR, Raman, and LIBS spectroscopy techniques, including imaging. A region of interest may be surveyed to identify a target area, wherein the target area comprises at least one unknown material. This surveying may be accomplished using visible imagery or SWIR imagery. The target area may be interrogated using Raman spectroscopy and LIBS spectroscopy to identify the unknown material. SWIR techniques may also be used to interrogate the target area. Fusion algorithms may also be applied to visible images, SWIR data sets, Raman data sets, and/or LIBS data sets.

    Abstract translation: 一种使用SWIR，拉曼和LIBS光谱技术组合检测和识别爆炸物和爆炸物残留物的系统和方法，包括成像。 可以调查感兴趣的区域以识别目标区域，其中目标区域包括至少一种未知材料。 可以使用可见图像或SWIR图像来完成此测量。 可以使用拉曼光谱和LIBS光谱来询问目标区域以识别未知材料。 也可以使用SWIR技术来询问目标区域。 融合算法也可以应用于可见图像，SWIR数据集，拉曼数据集和/或LIBS数据集。

    Hyperspectral imaging sensor for tracking moving targets
    36.
    发明申请
    Hyperspectral imaging sensor for tracking moving targets 审中-公开
    用于跟踪移动目标的高光谱成像传感器

    公开(公告)号：US20120062740A1

    公开(公告)日：2012-03-15

    申请号：US13199977

    申请日：2011-09-14

    Applicant: Patrick Treado ,  Matthew Nelson ,  Charles Gardner, JR.

    Inventor： Patrick Treado ,  Matthew Nelson ,  Charles Gardner, JR.

    IPC: H04N7/18

    CPC classification number: G01J3/2823 ,  G01J3/0264 ,  G01J3/0289 ,  G01J3/0291 ,  G06T7/248 ,  G06T2207/10036 ,  G06T2207/30232

    Abstract: The present disclosure provides for a system and method for aerial detection, identification, and/or tracking of unknown ground targets. A system may comprise collection optics, a RGB detector, a SWIR MCF, a SWIR detector, and a sensor housing affixed to an aircraft. A method may comprise generating a RGB video image, a hyperspectral SWIR image, and combinations hereof. The RGB video image and the hyperspectral SWIR image may be analyzed to detect, identify, and/or track unknown targets. The RGB video image and the hyperspectral SWIR image may be generated simultaneously.

    Abstract translation: 本公开提供了一种用于未知地面目标的空中检测，识别和/或跟踪的系统和方法。 系统可以包括收集光学器件，RGB检测器，SWIR MCF，SWIR检测器和固定到飞行器的传感器外壳。 一种方法可以包括生成RGB视频图像，高光谱SWIR图像及其组合。 可以分析RGB视频图像和超光谱SWIR图像以检测，识别和/或跟踪未知目标。 可以同时生成RGB视频图像和超光谱SWIR图像。

    SYSTEM AND METHOD FOR DETECTING EXPLOSIVES USING SWIR AND MWIR HYPERSPECTRAL IMAGING
    38.
    发明申请
    SYSTEM AND METHOD FOR DETECTING EXPLOSIVES USING SWIR AND MWIR HYPERSPECTRAL IMAGING 审中-公开
    使用SWIR和MWIR超分辨率成像检测爆炸物的系统和方法

    公开(公告)号：US20110261351A1

    公开(公告)日：2011-10-27

    申请号：US13020944

    申请日：2011-02-04

    Applicant: Patrick Treado ,  Charles W. Gardner, JR. ,  Matthew Nelson ,  Ryan Priore

    Inventor： Patrick Treado ,  Charles W. Gardner, JR. ,  Matthew Nelson ,  Ryan Priore

    IPC: G01N21/27 ,  G01N21/75

    CPC classification number: G01J3/32 ,  G01J3/02 ,  G01J3/0218 ,  G01J3/0264 ,  G01J3/0289 ,  G01J3/36 ,  G01J3/4338 ,  G01J3/44 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/39 ,  G01N33/0057

    Abstract: A system and method for detection of explosive agents using hyperspectral imaging. A system comprising an illumination source, a spectral encoding device, and at least one imaging detector configured for at least one of SWIR and MWIR hyperspectral imaging of a target comprising an unknown material. A method comprising illuminating a target comprising an unknown material, assessing interacted photons using a spectral encoding device, and detecting interacted photons using at least one of SWIR hyperspectral imaging and MWIR hyperspectral imaging. Algorithms and chemometric techniques may be applied to assess the MWIR hyperspectral image to identify the unknown material as comprising an explosive agent or a non-explosive agent. A video imaging device may also be configured to provide a video image of an area of interest, which may be assessed to identify a target for interrogation using SWIR and MWIR hyperspectral imaging.

    Abstract translation: 使用高光谱成像检测爆炸物的系统和方法。 一种包括照明源，光谱编码装置和至少一个成像检测器的系统，该至少一个成像检测器被配置用于包括未知材料的靶的SWIR和MWIR高光谱成像中的至少一个。 一种方法，包括照射包括未知材料的靶，使用光谱编码装置评估相互作用的光子，以及使用SWIR高光谱成像和MWIR高光谱成像中的至少一种来检测相互作用的光子。 可以应用算法和化学计量技术来评估MWIR高光谱图像，以将未知材料识别为包括爆炸剂或非爆炸剂。 视频成像设备还可以被配置为提供感兴趣区域的视频图像，其可以被评估以使用SWIR和MWIR高光谱成像识别用于询问的目标。

    System and Method for Detecting Hazardous Agents Including Explosives
    39.
    发明申请
    System and Method for Detecting Hazardous Agents Including Explosives 审中-公开
    检测含有爆炸物的有害物质的系统和方法

    公开(公告)号：US20110242533A1

    公开(公告)日：2011-10-06

    申请号：US13020935

    申请日：2011-02-04

    Applicant: Patrick Treado ,  Charles W. Gardner, JR. ,  Matthew Nelson ,  Ryan Priore

    Inventor： Patrick Treado ,  Charles W. Gardner, JR. ,  Matthew Nelson ,  Ryan Priore

    IPC: G01J3/28

    CPC classification number: G01J3/32 ,  G01J3/44 ,  G01N21/359 ,  G01N33/0057

    Abstract: A system and method for MWIR hyperspectral imaging to detect hazardous agents including explosive agents. A system comprising an illumination source, a tunable filter, and an imaging detector configured for MWIR hyperspectral imaging of a target comprising an unknown material. A method comprising illuminating a target comprising an unknown material, passing interacted photons through a tunable filter, and generating a MWIR hyperspectral image of the target. Algorithms and chemometric techniques may be applied to assess the MWIR hyperspectral image to identify the unknown material as comprising an explosive agent or a non-explosive agent. A video imaging device may also be configured to provide a video image of an area of interest, which may be assessed to identify a target for interrogation using MWIR hyperspectral imaging.

    Abstract translation: 用于MWIR高光谱成像检测危险物质（包括爆炸物质）的系统和方法。 一种包括照明源，可调谐滤光器和被配置用于包含未知材料的靶的MWIR高光谱成像的成像检测器的系统。 一种方法，包括照射包括未知材料的靶，通过可调滤波器传递相互作用的光子，以及生成目标的MWIR高光谱图像。 可以应用算法和化学计量技术来评估MWIR高光谱图像，以将未知材料识别为包括爆炸剂或非爆炸剂。 视频成像设备还可以被配置为提供感兴趣区域的视频图像，其可以被评估以使用MWIR高光谱成像识别用于询问的目标。

    Detection of Pathogenic Microorganisms Using Fused Raman, SWIR and LIBS Sensor Data
    40.
    发明申请
    Detection of Pathogenic Microorganisms Using Fused Raman, SWIR and LIBS Sensor Data 审中-公开
    使用熔融拉曼，SWIR和LIBS传感器数据检测病原微生物

    公开(公告)号：US20110237446A1

    公开(公告)日：2011-09-29

    申请号：US13081992

    申请日：2011-04-07

    Applicant: Patrick Treado ,  Robert Schweitzer

    Inventor： Patrick Treado ,  Robert Schweitzer

    IPC: C40B30/02

    Abstract: A system and method to search spectral databases to identify unknown materials, specifically pathogenic microorganisms. A library is provided, having sublibraries containing reference data sets of known materials and test data sets, both generated by at least one spectroscopic data generating instrument. For each test data set, each sublibrary associated with the instrument used is searched. A set of scores for each searched sublibrary is produced, representing the likelihood of a match between the reference data set and test data set. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used in determining whether the unknown material is represented through a known material in the library. The known material represented in the libraries having the highest final probability value is reported, if the highest final probability value is greater than or equal to the minimum confidence value.

    Abstract translation: 检索光谱数据库以识别未知物质，特别是致病微生物的系统和方法。 提供一个库，具有包含由至少一个光谱数据生成装置生成的已知材料和测试数据集的参考数据集的子图标。 对于每个测试数据集，搜索与使用的仪器相关联的每个子库。 产生每个搜索的子图库的一组分数，表示参考数据集和测试数据集之间的匹配的可能性。 对于每个搜索的子图库计算相对概率值。 所有相对概率值被融合，产生一组最终概率值，用于确定未知材料是否通过库中的已知材料表示。 如果最大最终概率值大于或等于最小置信度值，则报告具有最高最终概率值的库中表示的已知材料。

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