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    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue
    21.
    发明申请
    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue 有权
    将光谱测量与对比增强组织的数字图像相关联的方法

    公开(公告)号：US20070127022A1

    公开(公告)日：2007-06-07

    申请号：US11647195

    申请日：2006-12-29

    申请人： Jeffrey Cohen ,  John Maier ,  Robert Schweitzer

    发明人： Jeffrey Cohen ,  John Maier ,  Robert Schweitzer

    IPC分类号： G01J3/28

    CPC分类号： G01N21/65 ,  G01J3/0235 ,  G01J3/0264 ,  G01J3/0289 ,  G01J3/0291 ,  G01J3/12 ,  G01J3/2823 ,  G01J3/44 ,  G01N21/6458 ,  G01N21/6486 ,  G01N21/658 ,  G01N2021/6417 ,  G01N2021/6423 ,  G01N2021/656

    摘要： A system and method of correlating Raman measurements with digital images of a treated sample and using this correlation to classify the disease state of the sample. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. The positional information about the field of view is stored. With the sample removed from the field of view, the sample is treated with a contrast enhancing agent. Using the stored positional information for the field of view, the treated sample is repositioned in the spectroscopic device's field of view. A digital image of the treated sample positioned in the field of view is obtained. The spectroscopic data set is linked with the digital image by defining a transformation to map the image spatial coordinates of the digital image to the spectral spatial coordinates of the spectroscopic data. A database having a plurality of spectroscopic data sets, for samples having well characterized pathology, is provided. Each spectroscopic data set is linked to a corresponding digital image, and each spectroscopic data set is associated with the known sample. Each corresponding digital image is associated with the known sample treated with a contrast enhancing agent. For the spectroscopic data set of the sample, the database is searched to identify a spectroscopic data set, of a known sample, matching the sample's spectroscopic data set.

    摘要翻译： 将拉曼测量与处理的样品的数字图像相关联并使用该相关性来分类样品的疾病状态的系统和方法。 对于位于分光装置的视野中的样品获得光谱数据集。 存储关于视场的位置信息。 从样品中取出样品后，用对比度增强剂处理样品。 使用所存储的视场的位置信息，处理的样品在分光装置的视场中重新定位。 获得定位在视场中的被处理样品的数字图像。 通过定义将数字图像的图像空间坐标映射到光谱数据的光谱空间坐标的变换，光谱数据集与数字图像相关联。 提供了具有多个光谱数据集的数据库，用于具有良好表征的病理学的样本。 每个光谱数据集与相应的数字图像相关联，并且每个光谱数据集与已知样本相关联。 每个相应的数字图像与用对比度增强剂处理的已知样品相关联。 对于样本的光谱数据集，搜索数据库以识别与样本的光谱数据集匹配的已知样本的光谱数据集。

    System and method for partitioning chemometric analysis
    25.
    发明授权
    System and method for partitioning chemometric analysis 有权

    公开(公告)号：US10360995B2

    公开(公告)日：2019-07-23

    申请号：US11918486

    申请日：2006-02-23

    申请人： Robert Schweitzer

    发明人： Robert Schweitzer

    IPC分类号： G01N33/48 ,  G01N33/50 ,  G16C20/20 ,  G01N21/359 ,  G01N21/64 ,  G01N21/65 ,  G01N21/3577 ,  G01N21/35

    摘要： In one embodiment, the disclosure relates to a method for conducting a spectral library search to identify an unknown compound by acquiring one or more spectra of the compound; representing each spectrum as a target vector; providing an n-dimensional space having a plurality of partitioned spaces, at least one of the partitioned spaces containing at least one known vector representing a known material; mapping each target vector in one of the plurality of the partitioned spaces to form a mapped partitioned space; identifying one or more known vectors within the mapped partitioned space which approximate the target vector; and identifying the unknown compound by comparing the target vector to the known vectors within the mapped partitioned space which closely approximate the target vector.

    SYSTEM AND METHOD FOR PARTITIONING CHEMOMETRIC ANALYSIS
    26.
    发明申请
    SYSTEM AND METHOD FOR PARTITIONING CHEMOMETRIC ANALYSIS 审中-公开

    公开(公告)号：US20190026439A9

    公开(公告)日：2019-01-24

    申请号：US11918486

    申请日：2006-02-23

    申请人： Robert Schweitzer

    发明人： Robert Schweitzer

    IPC分类号： G06F19/00 ,  G01N21/35

    CPC分类号： G16C20/20 ,  G01N21/35 ,  G01N21/3577 ,  G01N21/359 ,  G01N21/64 ,  G01N21/65

    摘要： In one embodiment, the disclosure relates to a method for conducting a spectral library search to identify an un-known compound by acquiring one or more spectra of the compound; representing each spectrum as a target vector; providing an n-dimensional space having a plurality of partitioned spaces, at least one of the partitioned spaces containing at least one known vector representing a known material; mapping each target vector in one of the plurality of the partitioned spaces to form a mapped partitioned space; identifying one or more known vectors within the mapped partitioned space which approximate the target vector; and identifying the unknown compound by comparing the target vector to the known vectors within the mapped partitioned space which closely approximate the target vector.

    Forensic integrated search technology
    28.
    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

    申请人： Robert Schweitzer ,  Patrick Treado ,  Jason Neiss

    发明人： Robert Schweitzer ,  Patrick Treado ,  Jason Neiss

    IPC分类号： C40B30/02

    CPC分类号： G06F16/2462 ,  G16C20/20 ,  G16C20/90

    摘要： 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.

    摘要翻译： 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。

    System and method for eye safe detection of unknown targets
    30.
    发明授权
    System and method for eye safe detection of unknown targets 有权
    眼睛安全检测未知目标的系统和方法

    公开(公告)号：US08994934B1

    公开(公告)日：2015-03-31

    申请号：US13373333

    申请日：2011-11-10

    申请人： Matthew Nelson ,  Patrick Treado ,  Robert Schweitzer ,  Robert D'Agostino

    发明人： Matthew Nelson ,  Patrick Treado ,  Robert Schweitzer ,  Robert D'Agostino

    IPC分类号： G01N21/00 ,  G01N33/00 ,  G01J3/02

    CPC分类号： G01N33/0057 ,  G01J3/02 ,  G01J3/027 ,  G01J3/44 ,  G01J5/0846 ,  G01J5/0859 ,  G01J2005/0077 ,  H04N5/23219

    摘要： The present disclosure provides for a system and method for detecting and identifying unknown targets. At least one region of interest comprising an unknown target in a sample scene may be targeted using SWIR spectroscopic techniques. A region of interest may be surveyed 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 in a region of interest, the region 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 thereby identify said unknown target. This assessment may be achieved by comparing the Raman data set to a reference data sets in a reference database, where each reference data set is associated with a known target.

    摘要翻译： 本公开提供了用于检测和识别未知目标的系统和方法。 可以使用SWIR光谱技术来对包含样本场景中的未知目标的至少一个感兴趣区域进行定位。 可以调查感兴趣的区域，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。 如果感兴趣区域中没有人存在，则可以使用拉曼光谱技术询问该区域，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，从而识别所述未知目标。 可以通过将拉曼数据集与参考数据库中的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目标相关联。