A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy
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Author(s)
Yu, Yang
Kang, Jeon Woong
Tam, Zhi Yang
Xu, Shuo Yu
Fong, Eliza Li Shan
Singh, Surya Pratap
Song, Ziwei
Kellogg, Lisa Tucker
So, Peter
Yu, Hanry
Date Issued
June 2017
Journal
Clinical and Preclinical Optical Diagnostics
Publisher
SPIE
Citation
Yu, Yang, et al. "A Classification Model for Non-Alcoholic Steatohepatitis (NASH) Using Confocal Raman Micro-Spectroscopy." 25-29 June 2017, Munich, Germany, edited by J. Quincy Brown and Ton G. van Leeuwen, SPIE, 2017, p. 101. © 2017 OSA-SPIE
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Laser Biomedical Research Center
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1117/12.2281445
