Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy.
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.
Tai
Dean C S
DC
Institute of Bioengineering and Nanotechnology, The Nanos #04-01, 31 Biopolis Way, Singapore, 138669. dtai@ibn.a-star.edu.sg
Tan
Nancy
N
Xu
Shuoyu
S
Kang
Chiang Huen
CH
Chia
Ser Mien
SM
Cheng
Chee Leong
CL
Wee
Aileen
A
Wei
Chiang Li
CL
Raja
Anju Mythreyi
AM
Xiao
Guangfa
G
Chang
Shi
S
Rajapakse
Jagath C
JC
So
Peter T C
PT
Tang
Hui-Huan
HH
Chen
Chien Shing
CS
Yu
Hanry
H
D000465:Algorithms; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation* / Q000379:methods*; D008103:Liver Cirrhosis / Q000473:pathology*; D036641:Microscopy, Fluorescence, Multiphoton / Q000295:instrumentation* / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity