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    • 3. 发明申请
    • FORENSIC INTEGRATED SEARCH TECHNOLOGY
    • 威信集成搜索技术
    • WO2006135806A2
    • 2006-12-21
    • PCT/US2006/022618
    • 2006-06-09
    • CHEMIMAGE CORPORATIONTREADO, Patrick, J.SCHWEITZER, RobertNEISS, Jason
    • TREADO, Patrick, J.SCHWEITZER, RobertNEISS, Jason
    • G06F7/00
    • G06F17/30536G06F19/703G06F19/709
    • 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.
    • 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。
    • 4. 发明申请
    • DIGITIZING BIOLOGY
    • DIGITIZING生物学
    • WO2007011571A2
    • 2007-01-25
    • PCT/US2006/026777
    • 2006-07-11
    • CHEMIMAGE CORPORATIONMAIER, John, S.TREADO, Patrick, J.COHEN, JeffreyNEISS, Jason
    • MAIER, John, S.TREADO, Patrick, J.COHEN, JeffreyNEISS, Jason
    • G06F19/00A61B5/00
    • G01N21/65
    • A method and apparatus for determining the progress of a disease. A pre-determined vector space is determined where the vector space mathematically describes a reference set of wavelength resolved data at a plurality of time intervals. A sample containing at least one cell is irradiated with light. Target data is collected where the target data corresponds to at least one of light emitted from or scattered by the sample and includes a plurality of spatially accurate wavelength resolved measurements of light. The target data is transformed into the pre-determined vector space for each spatially accurate wavelength resolved measurement of light. A distribution of transformed points is analyzed in the plurality of pre-determined vector space. Based on the analysis, a transition of a disease condition of the sample is classified.
    • 用于确定疾病进展的方法和装置。 确定矢量空间,其中矢量空间以多个时间间隔数学地描述波长分辨数据的参考集合。 用光照射含有至少一个电池的样品。 收集目标数据,其中目标数据对应于由样本发射或散射的光中的至少一种,并且包括多个空间上精确的波长分辨的光测量。 每个空间精确的波长分辨光测量,将目标数据转换成预定向量空间。 在多个预定向量空间中分析变换点的分布。 根据分析,对样本的疾病状况进行分类。