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Proceedings Paper

An integrated coherent anti-Stokes Raman scattering and multiphoton imaging technique for liver disease diagnosis
Author(s): Jian Lin; Fake Lu; Wei Zheng; Hanry Yu; Colin Sheppard; Zhiwei Huang
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Paper Abstract

Liver steatosis and fibrosis are two prevalence liver diseases and may eventually develop into hepatocellular carcinoma (HCC) Due to their prevalence and severity, much work has been done to develop efficient diagnostic methods and therapies. Nonlinear optical microscopy has high sensitivity and chemical specificity for major biochemical compounds, making it a powerful tool for tissue imaging without staining. In this study, three nonlinear microscopy imaging modalities are applied to the study of liver diseases in a bile duct ligation rat modal. CARS shows the distributions of fats or lipids quantitatively across the tissue; SHG visualizes the collagens; and TPEF reveals the morphology of hepatic cells. The results clearly show the development of liver steatosis and fibrosis with time, and the hepatic fat and collagen fibrils are quantified. This study demonstrates the ability of multimodal nonlinear optical microscopy for liver disease diagnosis, and may provide new insights into the understanding of the mechanisms of steatosis/fibrosis transformations at the cellular and molecular levels.

Paper Details

Date Published: 9 February 2012
PDF: 6 pages
Proc. SPIE 8226, Multiphoton Microscopy in the Biomedical Sciences XII, 822625 (9 February 2012); doi: 10.1117/12.908200
Show Author Affiliations
Jian Lin, National Univ. of Singapore (Singapore)
Fake Lu, National Univ. of Singapore (Singapore)
Wei Zheng, National Univ. of Singapore (Singapore)
Hanry Yu, Yong Loo Lin School of Medicine, National Univ. of Singapore (Singapore)
Institute of Bioengineering and Nanotechnology (Singapore)
Colin Sheppard, National Univ. of Singapore (Singapore)
Zhiwei Huang, National Univ. of Singapore (Singapore)


Published in SPIE Proceedings Vol. 8226:
Multiphoton Microscopy in the Biomedical Sciences XII
Karsten König, Editor(s)

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