Automatic Background Removal and Correction of Systematic Error Caused by Noise Expecting Bio-Raman Big Data Analysis
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- UJUAGU Akunna Francess
- Graduate School of Science, Tohoku University
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- WANG Ziteng
- Graduate School of Science, Tohoku University
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- MORITA Shin-ichi
- Graduate School of Science, Tohoku University
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説明
<p>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.</p>
収録刊行物
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- Analytical Sciences
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Analytical Sciences 36 (5), 511-514, 2020-05-10
社団法人 日本分析化学会
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詳細情報 詳細情報について
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- CRID
- 1390848250109918464
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- NII論文ID
- 130007840933
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- NII書誌ID
- AA10500785
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- ISSN
- 13482246
- 09106340
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- NDL書誌ID
- 030456985
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- PubMed
- 32307345
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- PubMed
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可