1. Digital Image Analysis of Picrosirius Red Staining: A Robust Method for Multi-Organ Fibrosis Quantification and Characterization
- Author
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Isabelle Leclercq, François Huaux, Guglielmo Schiano, Caroline Bouzin, Johann Morelle, Olivier Devuyst, Guillaume E. Courtoy, Antoine Froidure, UCL - SSS/IREC/PNEU - Pôle de Pneumologie, ORL et Dermatologie, UCL - SSS/IREC - Institut de recherche expérimentale et clinique, UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie, UCL - SSS/IREC/LTAP - Louvain Centre for Toxicology and Applied Pharmacology, UCL - SSS/IREC/NEFR - Pôle de Néphrologie, UCL - (SLuc) Service de gastro-entérologie, UCL - (SLuc) Service de néphrologie, UCL - (SLuc) Service de pneumologie, University of Zurich, Leclercq, Isabelle, and Bouzin, Caroline
- Subjects
Male ,0301 basic medicine ,1303 Biochemistry ,digital analysis ,lcsh:QR1-502 ,fibrosis pattern ,610 Medicine & health ,Kidney ,Biochemistry ,Article ,lcsh:Microbiology ,10052 Institute of Physiology ,Pattern Recognition, Automated ,Picrosirius red ,03 medical and health sciences ,0302 clinical medicine ,Region of interest ,Fibrosis ,1312 Molecular Biology ,Image Processing, Computer-Assisted ,medicine ,Animals ,whole section ,Segmentation ,region-of-interest ,picrosirius red ,Lung ,Molecular Biology ,Staining and Labeling ,Collagen accumulation ,fibrosis ,collagen proportionate area ,Multi organ ,medicine.disease ,Staining ,Mice, Inbred C57BL ,Disease Models, Animal ,030104 developmental biology ,Liver ,030220 oncology & carcinogenesis ,Digital image analysis ,570 Life sciences ,biology ,Collagen ,Azo Compounds ,Algorithms ,Biomedical engineering - Abstract
Current understanding of fibrosis remains incomplete despite the increasing burden of related diseases. Preclinical models are used to dissect the pathogenesis and dynamics of fibrosis, and to evaluate anti-fibrotic therapies. These studies require objective and accurate measurements of fibrosis. Existing histological quantification methods are operator-dependent, organ-specific, and/or need advanced equipment. Therefore, we developed a robust, minimally operator-dependent, and tissue-transposable digital method for fibrosis quantification. The proposed method involves a novel algorithm for more specific and more sensitive detection of collagen fibers stained by picrosirius red (PSR), a computer-assisted segmentation of histological structures, and a new automated morphological classification of fibers according to their compactness. The new algorithm proved more accurate than classical filtering using principal color component (red-green-blue, RGB) for PSR detection. We applied this new method on established mouse models of liver, lung, and kidney fibrosis and demonstrated its validity by evidencing topological collagen accumulation in relevant histological compartments. Our data also showed an overall accumulation of compact fibers concomitant with worsening fibrosis and evidenced topological changes in fiber compactness proper to each model. In conclusion, we describe here a robust digital method for fibrosis analysis allowing accurate quantification, pattern recognition, and multi-organ comparisons useful to understand fibrosis dynamics.
- Published
- 2020
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