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Detection of Pathogenic Microorganisms Using Fused Raman, SWIR and LIBS Sensor Data

机译:使用融合拉曼,SWIR和LIBS传感器数据检测病原微生物

摘要

A system and method to search spectral databases to identify unknown materials, specifically pathogenic microorganisms. A library is provided, having sublibraries containing reference data sets of known materials and test data sets, both generated by at least one spectroscopic data generating instrument. For each test data set, each sublibrary associated with the instrument used is searched. A set of scores for each searched sublibrary is produced, representing the likelihood of a match between the reference data set and test data set. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used in determining whether the unknown material is represented through a known material in the library. 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.
机译:一种搜索光谱数据库以识别未知物质(特别是病原微生物)的系统和方法。提供了一种库,其具有包含已知材料的参考数据集和测试数据集的子库,两者均由至少一个光谱数据生成仪器生成。对于每个测试数据集,将搜索与所用仪器关联的每个子库。产生每个搜索子库的一组分数,代表参考数据集和测试数据集匹配的可能性。为每个搜索到的子库计算相对概率值。将所有相对概率值融合在一起,生成一组最终概率值,用于确定是否通过库中的已知材料表示未知材料。如果最高最终概率值大于或等于最小置信度,则报告在库中表示的具有最高最终概率值的已知材料。

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