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An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides
The DSS (dextran sulfate sodium) model of colitis is a mouse model of inflammatory bowel disease. Microscopic symptoms include loss of crypt cells from the gut lining and infiltration of inflammatory cells into the colon. An experienced pathologist requires several hours per study to score histologi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Limited
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3634668/ https://www.ncbi.nlm.nih.gov/pubmed/23580198 http://dx.doi.org/10.1242/dmm.011759 |
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author | Kozlowski, Cleopatra Jeet, Surinder Beyer, Joseph Guerrero, Steve Lesch, Justin Wang, Xiaoting DeVoss, Jason Diehl, Lauri |
author_facet | Kozlowski, Cleopatra Jeet, Surinder Beyer, Joseph Guerrero, Steve Lesch, Justin Wang, Xiaoting DeVoss, Jason Diehl, Lauri |
author_sort | Kozlowski, Cleopatra |
collection | PubMed |
description | The DSS (dextran sulfate sodium) model of colitis is a mouse model of inflammatory bowel disease. Microscopic symptoms include loss of crypt cells from the gut lining and infiltration of inflammatory cells into the colon. An experienced pathologist requires several hours per study to score histological changes in selected regions of the mouse gut. In order to increase the efficiency of scoring, Definiens Developer software was used to devise an entirely automated method to quantify histological changes in the whole H&E slide. When the algorithm was applied to slides from historical drug-discovery studies, automated scores classified 88% of drug candidates in the same way as pathologists’ scores. In addition, another automated image analysis method was developed to quantify colon-infiltrating macrophages, neutrophils, B cells and T cells in immunohistochemical stains of serial sections of the H&E slides. The timing of neutrophil and macrophage infiltration had the highest correlation to pathological changes, whereas T and B cell infiltration occurred later. Thus, automated image analysis enables quantitative comparisons between tissue morphology changes and cell-infiltration dynamics. |
format | Online Article Text |
id | pubmed-3634668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The Company of Biologists Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-36346682013-06-19 An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides Kozlowski, Cleopatra Jeet, Surinder Beyer, Joseph Guerrero, Steve Lesch, Justin Wang, Xiaoting DeVoss, Jason Diehl, Lauri Dis Model Mech Resource Article The DSS (dextran sulfate sodium) model of colitis is a mouse model of inflammatory bowel disease. Microscopic symptoms include loss of crypt cells from the gut lining and infiltration of inflammatory cells into the colon. An experienced pathologist requires several hours per study to score histological changes in selected regions of the mouse gut. In order to increase the efficiency of scoring, Definiens Developer software was used to devise an entirely automated method to quantify histological changes in the whole H&E slide. When the algorithm was applied to slides from historical drug-discovery studies, automated scores classified 88% of drug candidates in the same way as pathologists’ scores. In addition, another automated image analysis method was developed to quantify colon-infiltrating macrophages, neutrophils, B cells and T cells in immunohistochemical stains of serial sections of the H&E slides. The timing of neutrophil and macrophage infiltration had the highest correlation to pathological changes, whereas T and B cell infiltration occurred later. Thus, automated image analysis enables quantitative comparisons between tissue morphology changes and cell-infiltration dynamics. The Company of Biologists Limited 2013-05 2013-04-10 /pmc/articles/PMC3634668/ /pubmed/23580198 http://dx.doi.org/10.1242/dmm.011759 Text en © 2013. Published by The Company of Biologists Ltd This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial Share Alike License (http://creativecommons.org/licenses/by-nc-sa/3.0), which permits unrestricted non-commercial use, distribution and reproduction in any medium provided that the original work is properly cited and all further distributions of the work or adaptation are subject to the same Creative Commons License terms. |
spellingShingle | Resource Article Kozlowski, Cleopatra Jeet, Surinder Beyer, Joseph Guerrero, Steve Lesch, Justin Wang, Xiaoting DeVoss, Jason Diehl, Lauri An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides |
title | An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides |
title_full | An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides |
title_fullStr | An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides |
title_full_unstemmed | An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides |
title_short | An entirely automated method to score DSS-induced colitis in mice by digital image analysis of pathology slides |
title_sort | entirely automated method to score dss-induced colitis in mice by digital image analysis of pathology slides |
topic | Resource Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3634668/ https://www.ncbi.nlm.nih.gov/pubmed/23580198 http://dx.doi.org/10.1242/dmm.011759 |
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