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    • 72. 发明授权
    • Method and apparatus for a microscope image selector
    • 显微镜图像选择器的方法和装置
    • US07283241B2
    • 2007-10-16
    • US11045080
    • 2005-01-31
    • Xinghua WangThomas C. VoigtDavid TuschelChenhui WangPatrick J. Treado
    • Xinghua WangThomas C. VoigtDavid TuschelChenhui WangPatrick J. Treado
    • G01N21/25
    • G01N21/65G01J3/02G01J3/0291G01J3/36G01J3/44G01N21/359G01N21/59G01N21/6458G01N2021/6419G01N2021/6421G01N2021/656
    • The disclosure generally relates to a multimode imaging apparatus for simultaneously obtaining multiple wavelength-discriminative spectral images of a sample. In one embodiment, the apparatus includes an image selector having a rotator assembly, the rotator assembly housing a first plurality of optical components, the image selector adapted to receive a illuminating photons having a first wavelength and direct the illuminating photons to the sample, the image selector adapted to receive illuminating photons interacted with the sample and selectively direct said interacted photons to one of a plurality of detection sources; a microscope turret housing a second plurality of components, the microscope turret adapted to receive illuminating photons having a second wavelength and direct the photons to the sample; the microscopic turret adapted to receive illuminating photons interacted with the sample and selectively direct said interacted photons to one of a plurality of detection sources; wherein substantially all of the interacted photons are selectively directed one of a plurality of detection sources to form multiple wavelength discriminative spectral images of the sample simultaneously.
    • 本公开总体上涉及用于同时获得样本的多个波长鉴别光谱图像的多模式成像装置。 在一个实施例中,该装置包括具有旋转器组件的图像选择器,旋转体组件容纳第一多个光学部件,图像选择器适于接收具有第一波长的照明光子并将照射光子引导到样本,图像 选择器,适于接收与样本相互作用的照明光子,并选择性地将所述相互作用的光子引导到多个检测源之一; 显微镜转台,其容纳第二多个部件,所述显微镜转台适于接收具有第二波长并且将所述光子引导到所述样品的照明光子; 适于接收与样品相互作用的照明光子并且选择性地将所述相互作用的光子引导到多个检测源中的一个的微观炮塔; 其中基本上所有相互作用的光子被选择性地指向多个检测源中的一个,以同时形成样品的多个波长鉴别光谱图像。
    • 77. 发明申请
    • Forensic Integrated Search Technology
    • 法医综合搜索技术
    • US20120072122A1
    • 2012-03-22
    • US13246906
    • 2011-09-28
    • Robert SchweitzerPatrick J. TreadoJason Neiss
    • Robert SchweitzerPatrick J. TreadoJason Neiss
    • G06F19/00
    • G06F16/2462G16C20/20G16C20/90
    • A system and method to search spectral databases and to identify unknown materials. A library comprising sublibraries is provided, each sublibrary containing a plurality of reference data sets corresponding to known materials. Test data sets are provided, characteristic of an unknown material. Each test data set is generated by one or more spectroscopic data generating instruments. Each sublibrary is searched and a corresponding set of scores is produced, indicating a likelihood of a match. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used to determine whether the unknown material is represented through a known material in the library. A highest final probability value is selected compared to a minimum confidence value. If the probability value is greater than or equal to the minimum confidence value, the known material is reported.
    • 搜索光谱数据库并识别未知材料的系统和方法。 提供了包括子库的库,每个子库包含对应于已知材料的多个参考数据集。 提供测试数据集,是未知材料的特征。 每个测试数据集由一个或多个光谱数据产生装置产生。 搜索每个子图书馆,并产生相应的一组分数,指示匹配的可能性。 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。 与最小置信度值相比,选择最高最终概率值。 如果概率值大于或等于最小置信度值,则报告已知材料。
    • 80. 发明申请
    • FORENSIC INTEGRATED SEARCH TECHNOLOGY WITH INSTRUMENT WEIGHT FACTOR DETERMINATION
    • 威信集成搜索技术与仪器重量因子确定
    • US20080300826A1
    • 2008-12-04
    • US12017445
    • 2008-01-22
    • Robert C. SCHWEITZERPatrick J. Treado
    • Robert C. SCHWEITZERPatrick J. Treado
    • G06F17/18
    • G06K9/00536G06F19/703G06F19/709H01J49/0036
    • A system and method to search spectral databases and to identify unknown materials from multiple spectroscopic data in the databases. The methodology may be substantially automated and is configurable to determine weights to be accorded to spectroscopic data from different spectroscopic data generating instruments for improved identification of unknown materials. Library spectra from known materials are divided into training and validation sets. Initial, instrument-specific weighting factors are determined using a weight grid or weight scale. The training and validation spectra are weighted with the weighting factors and indicator probabilities for various sets of “coarse” weighting factors are determined through an iterative process. The finally-selected set of coarse weighting factors is further “fine tuned” using a weight grid with finer values of weights. The instrument-specific finer weight values may be applied to test data sets (or spectra) of an unknown material as well as to the library spectra from corresponding spectroscopic instruments. Instrument-specific weights for each class of samples may also be computed for additional customization and accuracy.
    • 一种用于搜索光谱数据库并从数据库中的多个光谱数据中识别未知物质的系统和方法。 该方法可以基本上是自动化的,并且可配置为确定要与来自不同光谱数据生成装置的光谱数据一致的权重,以改进未知材料的识别。 已知材料的谱图谱分为训练和验证集。 使用权重网格或权重量表确定初始的仪器特定加权因子。 训练和验证光谱通过加权因子加权,并且通过迭代过程确定各组“粗”加权因子的指标概率。 最终选择的粗加权系数集合使用具有更精确的权重值的权重网格进一步“精细调整”。 仪器特定的更精细的重量值可以应用于未知材料的测试数据集(或光谱)以及来自相应光谱仪的文库光谱。 也可以计算每类样品的仪器特定重量,以获得额外的定制和准确性。