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    System and Method for Combined Raman, SWIR and LIBS Detection
    61.
    发明申请
    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：US20110080577A1

    公开(公告)日：2011-04-07

    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。

    SYSTEM AND METHOD FOR THE DEPOSITION, DETECTION AND IDENTIFICATION OF THREAT AGENTS USING A FIBER ARRAY SPECTRAL TRANSLATOR
    64.
    发明申请
    SYSTEM AND METHOD FOR THE DEPOSITION, DETECTION AND IDENTIFICATION OF THREAT AGENTS USING A FIBER ARRAY SPECTRAL TRANSLATOR 有权
    使用光纤阵列光栅转换器进行沉积，检测和识别故障代理的系统和方法

    公开(公告)号：US20080151223A1

    公开(公告)日：2008-06-26

    申请号：US11351269

    申请日：2006-02-09

    Applicant: Patrick Treado ,  Charles Gardner ,  John Maier

    Inventor： Patrick Treado ,  Charles Gardner ,  John Maier

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

    CPC classification number: G01J3/44 ,  G01N21/65

    Abstract: A system and method for depositing a sample of a threat agent is deposited onto a substrate. A first optical collection device collects at least one of the following: elastic scattered light produced by the threat agent, and Raman scattered light produced by the threat agent. A second optical collection device collects Raman scattered light produced by the threat agent, wherein the second optical collection device comprises a two dimensional non-linear array of optical fibers drawn into a one dimensional fiber stack that converts a non-linear field of view into a linear field of view, wherein the one dimensional fiber stack is coupled to an entrance slit of a Raman imaging spectrometer. The threat agent deposited on the substrate is identified.

    Abstract translation: 将用于沉积威胁剂的样品的系统和方法沉积在基底上。 第一光学收集装置收集以下至少一种：由威胁剂产生的弹性散射光和由威胁剂产生的拉曼散射光。 第二光学收集装置收集由威胁剂产生的拉曼散射光，其中第二光学收集装置包括被拉入一维光纤堆叠的二维非线性光纤阵列，其将非线性视场转换为 线性视野，其中所述一维光纤堆叠被耦合到拉曼成像光谱仪的入口狭缝。 鉴定沉积在基底上的威胁剂。

    Method for identifying components of a mixture via spectral analysis
    65.
    发明申请
    Method for identifying components of a mixture via spectral analysis 有权
    通过光谱分析识别混合物的组分的方法

    公开(公告)号：US20070061091A1

    公开(公告)日：2007-03-15

    申请号：US11407392

    申请日：2006-04-18

    Applicant: Robert Schweitzer ,  Willem Windig ,  Patrick Treado

    Inventor： Robert Schweitzer ,  Willem Windig ,  Patrick Treado

    IPC: G01R23/16

    CPC classification number: G01J3/28 ,  G01N21/3577 ,  G01N21/359 ,  G01N33/02 ,  G01N2021/3129 ,  G01N2201/1293 ,  G06F19/703

    Abstract: A set of spectral data is collected from a mixture and corrected to remove instrumental artifacts. The collected mixture spectra define an n-dimensional data space, where n is the number of data points in the spectra. Principal component analysis (PCA) techniques are applied to the n-dimensional data space to generate and select a subset of m eigenvectors that effectively describe all variance in the original data space. The members of a spectral library of known, pure components are examined based on this reduced dimensionality data space using target factor testing techniques. Each library spectrum is represented as a vector in the m-dimensional reduced data space, and target factor testing results in an angle between the library vector and the data space for each spectral library member. Those spectral library members that have the smallest angles with the data space are considered to be potential members, or candidates, of the mixture and are submitted for further testing. The spectral library members are ranked and every combination of the top y members is considered as a potential solution to the composition of the mixture. A multivariate least-squares solution is then calculated using the mixture spectra for each of the candidate combinations. Finally, a ranking algorithm is applied to each combination and is used to select the combination that is most likely the set of pure components in the mixture.

    Abstract translation: 从混合物中收集一组光谱数据，并进行校正以去除仪器伪像。 收集的混合谱定义了n维数据空间，其中n是光谱中数据点的数量。 主成分分析（PCA）技术应用于n维数据空间，以生成和选择有效描述原始数据空间中所有方差的m个特征向量的子集。 基于使用目标因子测试技术的这种减小的维度数据空间来检查已知的纯组件的光谱库的成员。 每个库谱表示为m维缩减数据空间中的向量，目标因子测试导致库向量与每个谱库成员的数据空间之间的角度。 与数据空间具有最小角度的那些光谱库成员被认为是混合物的潜在成员或候选者，并被提交进一步测试。 光谱库成员被排名，并且顶部成员的每个组合被认为是混合物组成的潜在解决方案。 然后使用每个候选组合的混合谱计算多变量最小二乘解。 最后，将排序算法应用于每个组合，并用于选择混合中最可能的纯组分集合的组合。

    Near infrared chemical imaging microscope
    66.
    发明申请
    Near infrared chemical imaging microscope 有权

    公开(公告)号：US20060164640A1

    公开(公告)日：2006-07-27

    申请号：US11366762

    申请日：2006-03-02

    Applicant: Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

    Inventor： Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

    IPC: G01J3/28

    CPC classification number: G01N21/359 ,  G01J3/2823 ,  G02B21/0016 ,  G02B21/06

    Abstract: A chemical imaging system is provided which uses a near infrared radiation microscope. The system includes an illumination source which illuminates an area of a sample using light in the near infrared radiation wavelength and light in the visible wavelength. A multitude of spatially resolved spectra of transmitted, reflected, emitted or scattered near infrared wavelength radiation light from the illuminated area of the sample is collected and a collimated beam is produced therefrom. A near infrared imaging spectrometer is provided for selecting a near infrared radiation image of the collimated beam. The filtered images are collected by a detector for further processing. The visible wavelength light from the illuminated area of the sample is simultaneously detected providing for the simultaneous visible and near infrared chemical imaging analysis of the sample. Two efficient means for performing three dimensional near infrared chemical imaging microscopy are provided.

    Near infrared chemical imaging microscope
    68.
    发明申请
    Near infrared chemical imaging microscope 有权

    公开(公告)号：US20060091311A1

    公开(公告)日：2006-05-04

    申请号：US11257222

    申请日：2005-10-24

    Applicant: Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

    Inventor： Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

    IPC: G01J5/02

    CPC classification number: G01N21/359 ,  G01J3/2823 ,  G02B21/0016 ,  G02B21/06

    Abstract: A chemical imaging system is provided which uses a near infrared radiation microscope. The system includes an illumination source which illuminates an area of a sample using light in the near infrared radiation wavelength and light in the visible wavelength. A multitude of spatially resolved spectra of transmitted, reflected, emitted or scattered near infrared wavelength radiation light from the illuminated area of the sample is collected and a collimated beam is produced therefrom. A near infrared imaging spectrometer is provided for selecting a near infrared radiation image of the collimated beam. The filtered images are collected by a detector for further processing. The visible wavelength light from the illuminated area of the sample is simultaneously detected providing for the simultaneous visible and near infrared chemical imaging analysis of the sample. Two efficient means for performing three dimensional near infrared chemical imaging microscopy are provided.

    Raman spectral analysis of pathogens
    69.
    发明申请
    Raman spectral analysis of pathogens 有权
    拉曼光谱分析病原体

    公开(公告)号：US20060055923A1

    公开(公告)日：2006-03-16

    申请号：US11206007

    申请日：2005-08-17

    Applicant: Shona Stewart ,  John Maier ,  Patrick Treado

    Inventor： Shona Stewart ,  John Maier ,  Patrick Treado

    IPC: G01J3/44 ,  G01N21/65

    CPC classification number: G01N21/65 ,  A61B18/20 ,  G01J3/10 ,  G01J3/44 ,  G01N21/31 ,  G01N21/645 ,  G01N21/6458 ,  G01N21/6486 ,  G01N21/658 ,  G01N2021/6423 ,  G01N2021/656

    Abstract: Raman scattering of radiation applied to a water sample is used to assess occurrence of a pathogen in the sample. The method is useful for detecting pathogens that are difficult to detect using other methods, such as protozoa. Examples of organisms that can be detected in water samples using these methods include protozoa of the genus Cryptosporidium and the genus Giardia. The methods described herein have important applications, such as for detection of Cryptosporidium organisms in municipal water systems.

    Abstract translation: 使用施加到水样品的辐射的拉曼散射来评估样品中病原体的发生。 该方法可用于检测使用其他方法（如原生动物）难以检测的病原体。 使用这些方法可以在水样中检测的生物体的实例包括隐孢子虫属和贾第虫属的原生动物。 本文描述的方法具有重要的应用，例如用于在市政水系统中检测隐孢子虫生物体。

    Near infrared chemical imaging microscope
    70.
    发明申请
    Near infrared chemical imaging microscope 失效

    公开(公告)号：US20060033026A1

    公开(公告)日：2006-02-16

    申请号：US11256889

    申请日：2005-10-24

    Applicant: Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

    Inventor： Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

    IPC: G01N21/35

    CPC classification number: G01N21/359 ,  G01J3/2823 ,  G02B21/0016 ,  G02B21/06

    Abstract: A chemical imaging system is provided which uses a near infrared radiation microscope. The system includes an illumination source which illuminates an area of a sample using light in the near infrared radiation wavelength and light in the visible wavelength. A multitude of spatially resolved spectra of transmitted, reflected, emitted or scattered near infrared wavelength radiation light from the illuminated area of the sample is collected and a collimated beam is produced therefrom. A near infrared imaging spectrometer is provided for selecting a near infrared radiation image of the collimated beam. The filtered images are collected by a detector for further processing. The visible wavelength light from the illuminated area of the sample is simultaneously detected providing for the simultaneous visible and near infrared chemical imaging analysis of the sample. Two efficient means for performing three dimensional near infrared chemical imaging microscopy are provided.

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