Abstract − Analytical Sciences, 33(12), 1323 (2017).
A Proposal for Automated Background Removal of Bio-Raman Data
Tatsuro SUGAWARA,* Qi YANG,* Takakazu NAKABAYASHI,* and Shin-ichi MORITA**
*Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba, Sendai 980-8578, Japan
**Graduate School of Science, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba, Sendai 980-8578, Japan
**Graduate School of Science, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba, Sendai 980-8578, Japan
The subtraction of background components from observed spectra is essential in performing multivariable analysis, frequently applied to Raman spectra of cells. The subtraction procedure, however, is manual and time consuming, especially for big data. Here, we propose an automated method for removing background information from measured spectra of cells, exhibiting the theoretical framework and an experimental application.
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