Research Papers

Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy

[+] Author Affiliations
Dean C. S. Tai

Institute of Bioengineering and Nanotechnology, The Nanos #04-01, 31 Biopolis Way, Singapore, 138669

Nancy Tan

National University of Singapore, Department of Physiology, Block MD9 2 Medical Drive, Singapore, 117597 and KK Women’s and Children’s Hospital, Department of Pædiatrics, 100 Bukit Timah Road, Singapore, 229899

Shuoyu Xu

Institute of Bioengineering and Nanotechnology, The Nanos #04-01, 31 Biopolis Way, Singapore, 138669 and National University of Singapore, Computation and System Biology Program, Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576

Chiang Huen Kang

Institute of Bioengineering and Nanotechnology, The Nanos #04-01, 31 Biopolis Way, Singapore, 138669

Ser Mien Chia

National University of Singapore, Computation and System Biology Program, Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576

Chee Leong Cheng, Aileen Wee

National University Hospital, Department of Pathology, 5 Lower Kent Ridge Road, Singapore, 119074

Chiang Li Wei

KK Women’s and Children’s Hospital, Department of Pædiatric Surgery, 100 Bukit Timah Road, Singapore, 229899

Anju Mythreyi Raja

Institute of Bioengineering and Nanotechnology, The Nanos #04-01, 31 Biopolis Way, Singapore, 138669 and National University of Singapore, Graduate School for Integrative Science and Engineering, Graduate Programme in Bioengineering, Singapore, 117597

Guangfa Xiao

National University of Singapore, Department of Physiology, Block MD9 2 Medical Drive, Singapore, 117597 and Central-South University, Xiangya Hospital, Department of General Surgery, Changsha, Hunan 410008, China

Shi Chang

Central-South University, Xiangya Hospital, Department of General Surgery, Changsha, Hunan 410008, China

Jagath C. Rajapakse

National University of Singapore, Computation and System Biology Program, Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and Nanyang Technological University, School of Computer Engineering, Bioinformatics Research Center, Singapore 639798 and Massachusetts Institute of Technology, Division of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139

Peter T. C. So

National University of Singapore, Computation and System Biology Program, Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and Massachusetts Institute of Technology, Department of Mechanical Engineering and Division of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139

Hui-Huan Tang

Central-South University, Xiangya Hospital, Department of General Surgery, Changsha, Hunan 410008, China

Chien Shing Chen

National University of Singapore, Yong Loo Lin School of Medicine, Department of Medicine, Singapore 117597 and Loma Linda University, School of Medicine, Division of Hematology and Oncology, Loma Linda, California 92350

Hanry Yu

Institute of Bioengineering and Nanotechnology, The Nanos #04-01, 31 Biopolis Way, Singapore, 138669 and National University of Singapore, Department of Physiology, Block MD9 2 Medical Drive, Singapore, 117597 and National University of Singapore, Computation and System Biology Program, Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and National University of Singapore, NUS Tissue-Engineering Programme, DSO Labaoratory, Singapore 117597 and Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139

J. Biomed. Opt. 14(4), 044013 (July 27, 2009). doi:10.1117/1.3183811
History: Received October 03, 2008; Revised May 27, 2009; Accepted May 27, 2009; Published July 27, 2009
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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.

Figures in this Article
© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Dean C. S. Tai ; Nancy Tan ; Shuoyu Xu ; Chiang Huen Kang ; Ser Mien Chia, et al.
"Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy", J. Biomed. Opt. 14(4), 044013 (July 27, 2009). ; http://dx.doi.org/10.1117/1.3183811


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