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    • 31. 发明申请
    • METHOD AND APPARATUS FOR AUTOMATED SPECTRAL CALIBRATION
    • 自动光谱校准的方法和装置
    • US20090152454A1
    • 2009-06-18
    • US12273169
    • 2008-11-18
    • Matthew P. NelsonPatrick J. Treado
    • Matthew P. NelsonPatrick J. Treado
    • G01D18/00
    • G01J3/28A61B5/0059A61B2560/0223G01J2003/2866
    • The disclosure generally relates to a method and apparatus for automated spectral calibration of a spectroscopy device. In one embodiment, the disclosure relates to 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.
    • 本发明一般涉及一种用于光谱设备的自动光谱校准的方法和装置。 在一个实施方案中,本公开涉及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。
    • 40. 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。