Literature DB >> 17995580

Quantification of renal pathology by image analysis.

Gopala K Rangan1, Greg H Tesch.   

Abstract

Recent advances in computer image analysis techniques allow more accurate quantification of kidney pathological lesions, which are identified by histological staining or immunohistochemistry. This article provides a detailed description of the basic techniques for quantifying these lesions in digital images of light microscopy using Image J software, which is freely available over the Internet. The methods discussed include calibrating measurements, applying scales to images, assessment of object size and thickness, cell counting and point counting, and analysis of area stained. Our explanations indicate how these methods can be used to evaluate glomerular hypertrophy, tubular and vascular injury, accumulation of inflammatory cells and myofibroblasts, deposition of extracellular matrix, and the development of renal scarring.

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Year:  2007        PMID: 17995580     DOI: 10.1111/j.1440-1797.2007.00855.x

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  61 in total

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Journal:  Am J Physiol Renal Physiol       Date:  2019-02-27

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5.  CD103+ Dendritic Cells Elicit CD8+ T Cell Responses to Accelerate Kidney Injury in Adriamycin Nephropathy.

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Journal:  Am J Physiol Endocrinol Metab       Date:  2016-01-19       Impact factor: 4.310

7.  Expression of the translocator protein of 18 kDa by microglia, macrophages and astrocytes based on immunohistochemical localization in abnormal human brain.

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9.  Immunohistochemical localization and mRNA expression of aquaporins in the macula utriculi of patients with Meniere's disease and acoustic neuroma.

Authors:  Gail Ishiyama; Ivan A Lopez; Luis Beltran-Parrazal; Akira Ishiyama
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10.  Experience with rituximab in scleroderma: results from a 1-year, proof-of-principle study.

Authors:  Dimitrios Daoussis; Stamatis-Nick C Liossis; Athanassios C Tsamandas; Christina Kalogeropoulou; Alexandra Kazantzi; Chaido Sirinian; Maria Karampetsou; Georgios Yiannopoulos; Andrew P Andonopoulos
Journal:  Rheumatology (Oxford)       Date:  2009-05-15       Impact factor: 7.580

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