Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models
Introduction: Surgical 5/6 nephrectomy and adenine-induced kidney failure in rats are frequently used models of progressive renal failure. In both models, rats develop significant morphological changes in the kidneys and quantification of these changes can be used to measure the efficacy of prophyla...
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| Format: | Article |
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Elsevier
2012-01-01
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| Series: | Journal of Pathology Informatics |
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| Online Access: | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=20;epage=20;aulast= |
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| author | Marcin Klapczynski Gerard D Gagne Sherry J Morgan Kelly J Larson Bruce E LeRoy Eric A Blomme Bryan F Cox Eugene W Shek |
| author_facet | Marcin Klapczynski Gerard D Gagne Sherry J Morgan Kelly J Larson Bruce E LeRoy Eric A Blomme Bryan F Cox Eugene W Shek |
| author_sort | Marcin Klapczynski |
| collection | DOAJ |
| description | Introduction: Surgical 5/6 nephrectomy and adenine-induced kidney failure in rats are frequently used models of progressive renal failure. In both models, rats develop significant morphological changes in the kidneys and quantification of these changes can be used to measure the efficacy of prophylactic or therapeutic approaches. In this study, the Aperio Genie Pattern Recognition technology, along with the Positive Pixel Count, Nuclear and Rare Event algorithms were used to quantify histological changes in both rat renal failure models. Methods: Analysis was performed on digitized slides of whole kidney sagittal sections stained with either hematoxylin and eosin or immunohistochemistry with an anti-nestin antibody to identify glomeruli, regenerating tubular epithelium, and tubulointerstitial myofibroblasts. An anti-polymorphonuclear neutrophil (PMN) antibody was also used to investigate neutrophil tissue infiltration. Results: Image analysis allowed for rapid and accurate quantification of relevant histopathologic changes such as increased cellularity and expansion of glomeruli, renal tubular dilatation, and degeneration, tissue inflammation, and mineral aggregation. The algorithms provided reliable and consistent results in both control and experimental groups and presented a quantifiable degree of damage associated with each model. Conclusion: These algorithms represent useful tools for the uniform and reproducible characterization of common histomorphologic features of renal injury in rats. |
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| issn | 2153-3539 2153-3539 |
| language | English |
| last_indexed | 2024-12-12T09:39:43Z |
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| publisher | Elsevier |
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| series | Journal of Pathology Informatics |
| spelling | doaj.art-c2b9fec2541e4b119c6d0067d07d36932022-12-22T00:28:36ZengElsevierJournal of Pathology Informatics2153-35392153-35392012-01-0131202010.4103/2153-3539.95456Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure modelsMarcin KlapczynskiGerard D GagneSherry J MorganKelly J LarsonBruce E LeRoyEric A BlommeBryan F CoxEugene W ShekIntroduction: Surgical 5/6 nephrectomy and adenine-induced kidney failure in rats are frequently used models of progressive renal failure. In both models, rats develop significant morphological changes in the kidneys and quantification of these changes can be used to measure the efficacy of prophylactic or therapeutic approaches. In this study, the Aperio Genie Pattern Recognition technology, along with the Positive Pixel Count, Nuclear and Rare Event algorithms were used to quantify histological changes in both rat renal failure models. Methods: Analysis was performed on digitized slides of whole kidney sagittal sections stained with either hematoxylin and eosin or immunohistochemistry with an anti-nestin antibody to identify glomeruli, regenerating tubular epithelium, and tubulointerstitial myofibroblasts. An anti-polymorphonuclear neutrophil (PMN) antibody was also used to investigate neutrophil tissue infiltration. Results: Image analysis allowed for rapid and accurate quantification of relevant histopathologic changes such as increased cellularity and expansion of glomeruli, renal tubular dilatation, and degeneration, tissue inflammation, and mineral aggregation. The algorithms provided reliable and consistent results in both control and experimental groups and presented a quantifiable degree of damage associated with each model. Conclusion: These algorithms represent useful tools for the uniform and reproducible characterization of common histomorphologic features of renal injury in rats.http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=20;epage=20;aulast=5/6 nephrectomyadenine kidney modeldigital pathologydigital slideGenieimage analysisrodent renal failure model |
| spellingShingle | Marcin Klapczynski Gerard D Gagne Sherry J Morgan Kelly J Larson Bruce E LeRoy Eric A Blomme Bryan F Cox Eugene W Shek Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models Journal of Pathology Informatics 5/6 nephrectomy adenine kidney model digital pathology digital slide Genie image analysis rodent renal failure model |
| title | Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models |
| title_full | Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models |
| title_fullStr | Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models |
| title_full_unstemmed | Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models |
| title_short | Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models |
| title_sort | computer assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models |
| topic | 5/6 nephrectomy adenine kidney model digital pathology digital slide Genie image analysis rodent renal failure model |
| url | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=20;epage=20;aulast= |
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