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Proceedings Paper

A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy
Author(s): Jie Yan; Yang Yu; Jeon Woong Kang; Zhi Yang Tam; Shuoyu Xu; Eliza Li Shan Fong; Surya Pratap Singh; Ziwei Song; Lisa Tucker Kellogg; Peter So; Hanry Yu
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Paper Abstract

We combined Raman micro-spectroscopy and machine learning techniques to develop a classification model based on a well-established non-alcoholic steatohepatitis (NASH) mouse model, using spectrum pre-processing, biochemical component analysis (BCA) and logistic regression.

Paper Details

Date Published: 28 July 2017
PDF: 4 pages
Proc. SPIE 10411, Clinical and Preclinical Optical Diagnostics, 104110Y (28 July 2017); doi: 10.1117/12.2281445
Show Author Affiliations
Jie Yan, A*Star Institute of Bioengineering and Nanotechnology (Singapore)
Yang Yu, A*Star Institute of Bioengineering and Nanotechnology (Singapore)
National Univ. of Singapore (Singapore)
BioSyM, Singapore-MIT Alliance for Research and Technology (Singapore)
Jeon Woong Kang, Massachusetts Institute of Technology (United States)
Zhi Yang Tam, BioSyM, Singapore-MIT Alliance for Research and Technology (Singapore)
Shuoyu Xu, InvitroCue Pte. Ltd. (Singapore)
Eliza Li Shan Fong, National Univ. of Singapore (Singapore)
Surya Pratap Singh, Massachusetts Institute of Technology (United States)
Ziwei Song, A*Star Institute if Bioengineering and Nanotechnology (Singapore)
National Univ. of Singapore (Singapore)
Lisa Tucker Kellogg, BioSyM, Singapore-MIT Alliance for Research and Technology (Singapore)
National Univ. of Singapore (Singapore)
Peter So, BioSyM, Singapore-MIT Alliance for Research and Technology (Singapore)
Massachusetts Institute of Technology (United States)
Hanry Yu, A*Star Institute of Bioengineering and Nanotechnology (Singapore)
National Univ. of Singapore (Singapore)
BioSyM, Singapore-MIT Alliance for Research and Technology (Singapore)


Published in SPIE Proceedings Vol. 10411:
Clinical and Preclinical Optical Diagnostics
J. Quincy Brown; Ton G. van Leeuwen, Editor(s)

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