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  Indian J Med Microbiol
 

Figure 3: Steps of the automated analysis of a digital liver specimen for the determination of the morphometric descriptors in a Metavir F3 stage. (a) Picrosirius red stained digital section after cleaning steps. (b) Green channel of the digital liver specimen used to threshold whole fibrosis. (c) Binary image after automated threshold of whole fibrosis (black pixels). (d) Automated detection of porto-septal fibrosis. (e) Automated detection of perisinusoidal fibrosis. (f) Application of the porto-septal mask to measure the granularity (granules in black pixels). (g) Automated detection of fibrous bridges. (h) Automated detection of stellar fibrosis. (i) and (j) (higher magnification). Final image with morphometric descriptors: Edge linearity percentage is highlighted in dark blue pixels, stellar fibrosis in red pixels, porto-septal fibrosis in yellow pixels, perisinusoidal fibrosis in black pixels, and bridges between portal tracts in green pixels

Figure 3: Steps of the automated analysis of a digital liver specimen for the determination of the morphometric descriptors in a Metavir F3 stage. (a) Picrosirius red stained digital section after cleaning steps. (b) Green channel of the digital liver specimen used to threshold whole fibrosis. (c) Binary image after automated threshold of whole fibrosis (black pixels). (d) Automated detection of porto-septal fibrosis. (e) Automated detection of perisinusoidal fibrosis. (f) Application of the porto-septal mask to measure the granularity (granules in black pixels). (g) Automated detection of fibrous bridges. (h) Automated detection of stellar fibrosis. (i) and (j) (higher magnification). Final image with morphometric descriptors: Edge linearity percentage is highlighted in dark blue pixels, stellar fibrosis in red pixels, porto-septal fibrosis in yellow pixels, perisinusoidal fibrosis in black pixels, and bridges between portal tracts in green pixels