ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2020
Automatic Background Removal and Correction of Systematic Error Caused by Noise Expecting Bio-Raman Big Data Analysis.
Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Application of Raman spectroscopy for analytical science.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024Article
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Authors and funding
3 authors.
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Abstract
Spectral pretreatments, such as background removal from Raman big data, are crucial to have a smooth link to advanced spectral analysis. Recently, we developed an automated background removal method, where we considered the shortest length of a spectrum by changing the scaling factor of the background spectrum. Here, we propose a practical way to correct the systematic error caused by noise from measurements. This correction has been realized to be more effective and accurate for automatic background removal.
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Registered trials
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