Biological and Medical Applications of Multivariate Curve Resolution Assisted Raman Spectroscopy
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- NOOTHALAPATI Hemanth
- Raman Center for Medical and Biological Applications, Shimane University
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- IWASAKI Keita
- Faculty of Life and Environmental Science, Shimane University
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- YAMAMOTO Tatsuyuki
- Raman Center for Medical and Biological Applications, Shimane University Faculty of Life and Environmental Science, Shimane University
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抄録
Biological specimens such as cells, tissues and biofluids (urine, blood) contain mixtures of many different biomolecules, all of which contribute to a Raman spectrum at any given point. The separation and identification of pure biochemical components remains one of the biggest challenges in Raman spectroscopy. Multivariate curve resolution, a matrix factorization method, is a powerful, yet flexible, method that can be used with constraints, such as non-negativity, to decompose a complex spectroscopic data matrix into a small number of physically meaningful pure spectral components along with their relative abundances. This paper reviews recent applications of multivariate curve resolution by alternating least squares analysis to Raman spectroscopic and imaging data obtained either in vivo or in vitro from biological and medical samples.
収録刊行物
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- Analytical Sciences
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Analytical Sciences 33 (1), 15-22, 2017
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
- 1390001204259758080
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- NII論文ID
- 130005286429
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- NII書誌ID
- AA10500785
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- ISSN
- 13482246
- 09106340
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- NDL書誌ID
- 027829380
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- PubMed
- 28070069
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- Web Site
- http://id.ndl.go.jp/bib/027829380
- https://ndlsearch.ndl.go.jp/books/R000000004-I027829380
- https://link.springer.com/content/pdf/10.2116/analsci.33.15.pdf
- https://link.springer.com/article/10.2116/analsci.33.15/fulltext.html
- https://www.jstage.jst.go.jp/article/analsci/33/1/33_15/_pdf
- https://search.jamas.or.jp/link/ui/2017254634
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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
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- KAKEN
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