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|Title:||Fibro-C-Index: Comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy|
second harmonic generation
|Citation:||Tai, D.C.S., Tan, N., Xu, S., Kang, C.H., Chia, S.M., Cheng, C.L., Wee, A., Wei, C.L., Raja, A.M., Xiao, G., Chang, S., Rajapakse, J.C., So, P.T.C., Tang, H.-H., Chen, C.S., Yu, H. (2009). Fibro-C-Index: Comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy. Journal of Biomedical Optics 14 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1117/1.3183811|
|Abstract:||We develop a standardized, fully automated, quantification system for liver fibrosis assessment using second harmonic generation microscopy and a morphology-based quantification algorithm. Liver fibrosis is associated with an abnormal increase in collagen as a result of chronic liver diseases. Histopathological scoring is the most commonly used method for liver fibrosis assessment, where a liver biopsy is stained and scored by experienced pathologists. Due to the intrinsic limited sensitivity and operator-dependent variations, there exist high inter- and intraobserver discrepancies. We validate our quantification system, Fibro-C-Index, with a comprehensive animal study and demonstrate its potential application in clinical diagnosis to reduce inter- and intraobserver discrepancies. © 2009 Society of Photo-Optical Instrumentation Engineers.|
|Source Title:||Journal of Biomedical Optics|
|Appears in Collections:||Staff Publications|
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