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

doi:10.1117/12.2281445

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

Author Affiliations +

Proceedings Volume 10411, Clinical and Preclinical Optical Diagnostics; 104110Y (2017) https://doi.org/10.1117/12.2281445
Event: European Conferences on Biomedical Optics, 2017, Munich, Germany

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.

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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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