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Extended multiplicative signal correction for FTIR spectral quality test and pre-processing of infrared imaging data.
Journal of Biophotonics ( IF 2.8 ) Pub Date : 2019-12-15 , DOI: 10.1002/jbio.201960112
Valeria Tafintseva 1 , Volha Shapaval 1 , Margarita Smirnova 1, 2 , Achim Kohler 1
Affiliation  

Spectral quality control is an important step in the analysis of infrared spectral data, however, often neglected in scientific literature. A frequently used quality test that was originally developed for infrared spectra of bacteria is provided by OPUS software from Bruker Optik GmbH. In this study, the OPUS quality test is applied to a large number of spectra of bacteria, yeasts and moulds and hyperspectral images of microorganisms. It is shown that the use of strict thresholds for parameters of the OPUS quality test leads to discarding too many spectra. A strategy for optimizing parameters thresholds of the OPUS quality test is provided and a novel approach for spectral quality testing based on extended multiplicative signal correction (EMSC) is suggested. For all the data sets considered in our study, the EMSC quality test is shown to be the best among different alternatives of OPUS quality test provided.image

中文翻译:

扩展的乘法信号校正,用于FTIR光谱质量测试和红外成像数据的预处理。

光谱质量控制是分析红外光谱数据的重要步骤,但是在科学文献中经常被忽略。Bruker Optik GmbH的OPUS软件提供了最初为细菌的红外光谱开发的经常使用的质量测试。在这项研究中,OPUS质量测试适用于大量细菌,酵母和霉菌的光谱以及微生物的高光谱图像。结果表明,对OPUS质量测试的参数使用严格的阈值会导致丢弃太多光谱。提供了一种优化OPUS质量测试参数阈值的策略,并提出了一种基于扩展乘性信号校正(EMSC)的频谱质量测试新方法。对于我们研究中考虑的所有数据集,图像
更新日期:2019-12-15
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