Deconstruction of Obscure Features in SVD-Decomposed Raman Images from P. chrysogenumReveals Complex Mixing of Spectra from Five Cellular Constituents

Ashok Zachariah Samuel*, Shumpei Horii, Masahiro Ando, Haruko Takeyama

*この研究の対応する著者

研究成果: Article査読

抄録

Raman imaging has transcended in recent times from being an analytical tool to a molecular profiling technique. Biomedical applications of this technique often rely on singular-value decomposition (SVD), principal component analysis (PCA), etc. for data analysis. These methods, however, obliterate the molecular information contained in the original Raman data leading to speculative interpretations based on relative intensities. In the present study, SVD analysis of the Raman images fromPenicillium chrysogenumresulted in 11 spectral components and corresponding images with highly distorted spectral features and complex image contrast, respectively. To interpret the SVD results in molecular terms, we have developed a combined multivariate approach. By applying this methodology, we have successfully extracted the contribution of five biomolecular constituents of theP. chrysogenumfilamentous cell to the SVD vectors. Molecular interpretability will help SVD/PCA surpass the realm of variance-based classification to a more meaningful molecular domain.

本文言語English
ページ(範囲)12139-12146
ページ数8
ジャーナルAnalytical Chemistry
93
35
DOI
出版ステータスPublished - 2021 9 7

ASJC Scopus subject areas

  • 分析化学

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