Automatic and objective oral cancer diagnosis by Raman spectroscopic detection of keratin with multivariate curve resolution analysis

Automatic and objective oral cancer diagnosis by Raman spectroscopic detection of keratin with multivariate curve resolution analysis

We have developed an automatic and objective method for detecting human oral squamous cell carcinoma (OSCC) tissues with Raman microspectroscopy. We measure 196 independent Raman spectra from 196 different points of one oral tissue sample and globally analyze these spectra using a Multivariate Curve...

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Bibliographic Details
Main Authors: Chen, Po-Hsiung, Shimada, Rintaro, Yabumoto, Sohshi, Okajima, Hajime, Ando, Masahiro, Chang, Chiou-Tzu, Lee, Li-Tzu, Wong, Yong-Kie, Chiou, Arthur, Hamaguchi, Hiro-o
Format: Online
Language:English
Published: Nature Publishing Group 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726139/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726139/

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