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    System and Method for Combined Raman and LIBS Detection
    81.
    发明申请
    System and Method for Combined Raman and LIBS Detection 有权
    用于组合拉曼和LIBS检测的系统和方法

    公开(公告)号：US20110085165A1

    公开(公告)日：2011-04-14

    申请号：US12899055

    申请日：2010-10-06

    Applicant: Jeff Beckstead ,  Matthew Nelson ,  Patrick Treado

    Inventor： Jeff Beckstead ,  Matthew Nelson ,  Patrick Treado

    IPC: G01J3/44

    CPC classification number: G01J3/02 ,  G01J3/0218 ,  G01J3/0272 ,  G01J3/10 ,  G01J3/28 ,  G01J3/36 ,  G01J3/44 ,  G01J3/443 ,  G01N21/65 ,  G01N21/718 ,  G01N2201/0221 ,  G01N2201/06113 ,  G01N2201/0833 ,  G01N2201/0846

    Abstract: A system and method for detection and identification of unknown samples using a combination of Raman and LIBS detection techniques. A first region of a sample and a second region of a sample are illuminated using structured illumination to thereby generate a first plurality of interacted photons and a second plurality of interacted photons. This first plurality and second plurality of interacted photons may be passed through a fiber array spectral translator device. Said first plurality of interacted photons are assessed using Raman spectroscopy to thereby generate a Raman data set. Said second plurality of interacted photons are assessed using LIBS spectroscopy to thereby generate LIBS data set. These data sets may be analyzed to identify the sample. These data sets may also be fused for further analysis.

    Abstract translation: 一种使用拉曼和LIBS检测技术的组合检测和识别未知样品的系统和方法。 使用结构照明来照射样品的第一区域和样品的第二区域，从而产生第一多个相互作用的光子和第二多个相互作用的光子。 该第一多个和第二多个相互作用的光子可以通过光纤阵列光谱转换器装置。 使用拉曼光谱来评估所述第一多个相互作用的光子，从而产生拉曼数据集。 使用LIBS光谱来评估所述第二多个相互作用的光子，从而生成LIBS数据集。 可以分析这些数据集以识别样品。 这些数据集也可以融合进一步分析。

    METHOD AND APPARATUS FOR AUTOMATED SPECTRAL CALIBRATION
    82.
    发明申请
    METHOD AND APPARATUS FOR AUTOMATED SPECTRAL CALIBRATION 有权
    自动光谱校准的方法和装置

    公开(公告)号：US20110085164A1

    公开(公告)日：2011-04-14

    申请号：US12897376

    申请日：2010-10-04

    Applicant: Matthew Nelson ,  Patrick Treado

    Inventor： Matthew Nelson ,  Patrick Treado

    IPC: G01J3/00 ,  G01J3/44 ,  G01J3/42 ,  G01J3/40

    CPC classification number: A61B5/0059 ,  A61B2560/0223 ,  G01J3/28 ,  G01J3/42

    Abstract: A method and apparatus for automated spectral calibration of a spectroscopy device. A method for simultaneous calibration and spectral imaging of a sample by: simultaneously illuminating the sample and a calibrant with a plurality of illuminating photons; receiving, at the spectrometer, a first plurality of photons collected from the sample and a second plurality of photons collected from the calibrant; forming a calibrant spectrum from the first plurality of collected photons and a sample spectrum from the second plurality of collected photons; comparing the calibrant spectrum with a reference spectrum of the calibrant to determine a wavelength-shift in the calibrant spectrum; applying the wavelength-shift to the sample spectrum to obtain a calibrated sample spectrum.

    Abstract translation: 一种用于光谱装置的自动光谱校准的方法和装置。 一种通过以下步骤同时校准和光谱成像的方法：同时用多个照明光子照射样品和校准物; 在光谱仪处接收从样品收集的第一组多个光子和从校准物收集的第二组多个光子; 从所述第一多个收集的光子形成校准谱，以及来自所述第二多个收集的光子的样品光谱; 将校准谱与校准物的参考光谱进行比较，以确定校准谱中的波长漂移; 将波长偏移应用于样本光谱以获得校准的样本光谱。

    System and method for component discrimination enhancement based on multispectral addition imaging
    83.
    发明申请
    System and method for component discrimination enhancement based on multispectral addition imaging 有权
    基于多光谱加法成像的组件鉴别增强的系统和方法

    公开(公告)号：US20110012916A1

    公开(公告)日：2011-01-20

    申请号：US12799779

    申请日：2010-04-30

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

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

    IPC: G09G5/02

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

    Abstract: A system and method for performing multispectral color addition imaging. An optical image is obtained for a sample scene comprising one or more target materials. Spectroscopic data is obtained for one or more target materials. A first and second waveband of interest are obtained for one or more target materials. A ratio of the first and second wavebands of interest is obtained and compared to one or more ranges of threshold values. Based on this comparison, a result is displayed wherein this result comprises a pseudo color overlay on said optical image. The pseudo color image may comprise one or more pseudo colors assigned to one or more target materials so as to differentiate and identify the target materials present in the sample scene.

    Abstract translation: 用于执行多光谱彩色加成成像的系统和方法。 获得包含一个或多个目标材料的样本场景的光学图像。 获得一种或多种目标材料的光谱数据。 获得针对一种或多种目标材料的第一和第二感兴趣波段。 获得感兴趣的第一和第二波段的比率并将其与一个或多个阈值范围进行比较。 基于该比较，显示结果，其中该结果包括所述光学图像上的伪颜色覆盖。 伪彩色图像可以包括分配给一个或多个目标材料的一种或多种伪颜色，以便区分和识别存在于样本场景中的目标材料。

    Chemical Imaging Explosives (CHIMED) Optical Sensor using SWIR
    84.
    发明申请
    Chemical Imaging Explosives (CHIMED) Optical Sensor using SWIR 有权
    化学成像炸药（CHIMED）使用SWIR的光学传感器

    公开(公告)号：US20100225899A1

    公开(公告)日：2010-09-09

    申请号：US12754229

    申请日：2010-04-05

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

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

    IPC: G01N21/00

    CPC classification number: G01J3/02 ,  G01J3/0218 ,  G01J3/44 ,  G01N21/3563 ,  G01N21/359 ,  G01N33/0057

    Abstract: A sample is illuminated to thereby generate a plurality of first interacted photons selected. The first interacted photons are assessed using a visible imaging device to thereby determine an area of interest in the sample. The area of interest is illuminated to thereby generate a plurality of second interacted photons. The second interacted photons are assessed using a spectroscopic device to thereby generate a SWIR data set representative of said area of interest. A database is searched wherein said database comprises a plurality of known SWIR data sets associated with an explosive material. The data sets comprise at least one of: a plurality of SWIR spectra and a plurality of spatially accurate wavelength resolved SWIR images. An explosive material in the area of interest is thereby identified as a result of the search.

    Abstract translation: 照射样品从而产生选择的多个第一相互作用的光子。 使用可见成像装置评估第一相互作用的光子，从而确定样品中的感兴趣区域。 感兴趣的区域被照亮，从而产生多个第二相互作用的光子。 使用光谱装置评估第二相互作用的光子，从而产生表示所述感兴趣区域的SWIR数据集。 搜索数据库，其中所述数据库包括与爆炸物质相关联的多个已知的已知SWIR数据集。 数据组包括多个SWIR光谱和多个空间准确的波长分辨的SWIR图像中的至少一个。 因此，在感兴趣区域中的爆炸性材料被确定为搜索的结果。

    Automated acquisition of spectral data and image data
    86.
    发明授权
    Automated acquisition of spectral data and image data 有权
    自动采集光谱数据和图像数据

    公开(公告)号：US07557915B2

    公开(公告)日：2009-07-07

    申请号：US11585535

    申请日：2006-10-24

    Applicant: John Maier ,  Patrick Treado ,  Matthew Nelson ,  Lindy McClelland ,  Shona Stewart

    Inventor： John Maier ,  Patrick Treado ,  Matthew Nelson ,  Lindy McClelland ,  Shona Stewart

    IPC: G01J3/44

    CPC classification number: G01N21/65 ,  G01J3/28 ,  G01J3/2823 ,  G01J3/44 ,  G01N21/274 ,  G01N2021/656

    Abstract: A system and method to automatically obtain spectra for samples. The method involves a two phase process including a photobleaching phase and a spectral acquisition phase. In the photobleaching phase, a series of spectral data sets of a sample are collected. A relative difference is determined between the background of subsequent spectral data sets is determined and compared to a predetermined threshold value. If threshold difference is less than the relative difference between the background of subsequent spectral data sets, the steps of collecting a series of spectra data sets is automatically repeated. In the spectrum acquisition phase, a series of Raman data sets of the sample are collected until a target SNR is obtained.

    Abstract translation: 自动获取样品光谱的系统和方法。 该方法涉及包括光漂白相和光谱采集阶段的两相过程。 在漂白漂白阶段，收集样品的一系列光谱数据集。 在确定后续光谱数据集的背景并将其与预定阈值进行比较之间确定相对差。 如果阈值差小于随后的光谱数据集的背景之间的相对差，则自动重复收集一系列光谱数据集的步骤。 在频谱采集阶段，收集样本的一系列拉曼数据集，直到获得目标SNR。

    SYSTEM AND METHOD FOR THE DEPOSITION, DETECTION AND IDENTIFICATION OF THREAT AGENTS
    88.
    发明申请
    SYSTEM AND METHOD FOR THE DEPOSITION, DETECTION AND IDENTIFICATION OF THREAT AGENTS 有权
    沉积物的系统和方法，威胁剂的检测和鉴定

    公开(公告)号：US20080151224A1

    公开(公告)日：2008-06-26

    申请号：US11351280

    申请日：2006-02-09

    Applicant: Patrick Treado ,  Charles Gardner ,  John Maier

    Inventor： Patrick Treado ,  Charles Gardner ,  John Maier

    IPC: G01N21/00 ,  G01J3/44 ,  G01N21/65

    CPC classification number: G01J3/44 ,  G01N21/65

    Abstract: A system and method for depositing a sample of a threat agent onto a substrate. A single illumination source illuminates the threat agent deposited on the substrate with a plurality of photons to thereby produce elastic scattered photons and Raman scattered photons. The threat agent on the substrate is identified. The system and method operate in a trigger mode that detects the presence or absence of the threat agent, and an identification mode that identifies the threat agent.

    Abstract translation: 一种用于将威胁剂样品沉积到基底上的系统和方法。 单个照明源用多个光子照射沉积在基板上的威胁剂，从而产生弹性散射的光子和拉曼散射的光子。 识别底物上的威胁剂。 系统和方法在检测威胁代理的存在或不存在的触发模式下操作，以及识别威胁代理的识别模式。

    Forensic integrated search technology
    89.
    发明申请
    Forensic integrated search technology 审中-公开
    法医综合搜索技术

    公开(公告)号：US20070192035A1

    公开(公告)日：2007-08-16

    申请号：US11450138

    申请日：2006-06-09

    Applicant: Robert Schweitzer ,  Patrick Treado ,  Jason Neiss

    Inventor： Robert Schweitzer ,  Patrick Treado ,  Jason Neiss

    IPC: C40B30/02

    CPC classification number: G06F16/2462 ,  G16C20/20 ,  G16C20/90

    Abstract: A system and method to search spectra databases and to identify unknown materials. A library having a plurality of sublibraries is provided wherein each sublibrary contains a plurality of reference data sets generated by a corresponding one of a plurality of spectroscopic data generating instruments associated with the sublibrary. Each reference data set characterizes a corresponding known material. A plurality of test data sets is provided that is characteristic of an unknown material, wherein each test data set is generated by one or more of the plurality of spectroscopic data generating instruments. For each test data set, each sublibrary is searched where the sublibrary is associated with the spectroscopic data generating instrument used to generate the test data set. A corresponding set of scores for each searched sublibrary is produced, wherein each score in the set of scores indicates a likelihood of a match between one of the plurality of reference data sets in the searched sublibrary and the test data set. A set of relative probability values is calculated for each searched sublibrary based on the set of scores for each searched sublibrary. All relative probability values for each searched sublibrary are fused producing a set of final probability values that are used in determining whether the unknown material is represented through a known material characterized in the library. A highest final probability value is selected from the set of final probability values and compared to a minimum confidence value. 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: 搜索光谱数据库并识别未知材料的系统和方法。 提供具有多个子图库的库，其中每个子图库包含由与该子图书馆相关联的多个光谱数据生成装置中的相应一个生成的多个参考数据集。 每个参考数据集表征相应的已知材料。 提供了许多测试数据集，其是未知材料的特征，其中每个测试数据集由多个光谱数据产生装置中的一个或多个产生。 对于每个测试数据集，搜索每个子图书馆，其中子图书馆与用于生成测试数据集的光谱数据生成工具相关联。 产生每个搜索的子图库的相应的一组分数，其中该分数集中的每个分数表示搜索的子图库中的多个参考数据集之一与测试数据集之间的匹配的可能性。 基于每个搜索的子图库的分数集合，针对每个搜索的子图书馆计算一组相对概率值。 每个搜索的子图库的所有相对概率值被融合，产生用于确定未知材料是否通过库中表征的已知材料表示的一组最终概率值。 从最终概率值的集合中选择最高的最终概率值并与最小置信度值进行比较。 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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