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17 March 2023 Investigation on baseline fitting for Raman spectroscopy of living cells and its impact on principal component analysis
Kaustav Das, Terumasa Ito, Kazuhiko Misawa
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Proceedings Volume PC12363, Multiscale Imaging and Spectroscopy IV; PC1236307 (2023) https://doi.org/10.1117/12.2649537
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
In Raman-based diagnostic applications, principal component analysis (PCA) has often been used to distinguish different cell types or abnormalities. The performance of PCA greatly depends on the baseline adjustment of the measured spectra. Hence, the effect of erroneous baseline fitting on PCA requires to be addressed. Thus, we investigate the impact of baseline error for Raman spectra on PCA through the application of polynomial function with different orders in the fingerprint region (~600-1800cm-1). We found that the third order polynomial baseline fitting generated the fitted spectra closest to the mean spectrum and provided more precise PCA results.
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Kaustav Das, Terumasa Ito, and Kazuhiko Misawa "Investigation on baseline fitting for Raman spectroscopy of living cells and its impact on principal component analysis", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC1236307 (17 March 2023); https://doi.org/10.1117/12.2649537
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KEYWORDS
Principal component analysis
Raman spectroscopy
Biological research
Diagnostics
Error analysis
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