- 著者
- Akunna Francess UJUAGU Ziteng WANG Shin-ichi MORITA
- 出版者
- The Japan Society for Analytical Chemistry
- 雑誌
- Analytical Sciences (ISSN:09106340)
- 巻号頁・発行日
- vol.36, no.5, pp.511-514, 2020-05-10 (Released:2020-05-10)
- 参考文献数
- 13
- 被引用文献数
- 5
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.