Paper
28 July 2017 A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy
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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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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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, and Hanry Yu "A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy", Proc. SPIE 10411, Clinical and Preclinical Optical Diagnostics, 104110Y (28 July 2017); https://doi.org/10.1117/12.2281445
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KEYWORDS
Raman spectroscopy

Biological research

Confocal microscopy

Liver

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