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Cellular Oncology

, Volume 34, Issue 4, pp 343–354

First Online: 03 May 2011Accepted: 30 September 2010DOI: 10.1007-s13402-011-0035-7

Cite this article as: Hadi, A.M., Mouchaers, K.T.B., Schalij, I. et al. Cell Oncol. 2011 34: 343. doi:10.1007-s13402-011-0035-7


BackgroundFibrosis is associated with various cardiac pathologies and dysfunction. Current quantification methods are time-consuming and laborious. We describe a semi-automated quantification technique for myocardial fibrosis and validated this using traditional methods.

MethodsPulmonary Hypertension PH was induced in adult Wistar rats by subcutaneous monocrotaline MCT injection40 mg-kg. Cryosections of myocardial tissue 5 μm of PH rats n = 9 and controls n = 9 were stained using Picrosirius red and scanned with a digital microscopic MIRAX slide scanner. From these sections 21 images were taken randomly of each heart. Using ImageJ software a macro for automated image analysis of the amount of fibrosis was developed. For comparison, fibrosis was quantified using traditional polarisation microscopy. Both methods were correlated and validated against stereology as the gold standard. Furthermore, the method was tested in paraffin-embedded human tissues.

ResultsAutomated analysis showed a significant increase of fibrosis in PH hearts vs. control. Automated analysis correlated with traditional polarisation and stereology analysis r = 0.92 and r = 0.95 respectively. In human heart, lungs, kidney, and liver, a similar correlation with stereology r = 0.91 was observed. Time required for automated analysis was 22% and 33% of the time needed for stereology and polarisation analysis respectively.

ConclusionAutomated quantification of fibrosis is feasible, objective, and time-efficient.

KeywordsCollagen Fibrosis Slide scanner Whole slide image Image analysis Open source Picrosirius red Polarised light Stereology This paper is a reprint from rapid quantification of myocardial fibrosis: a new macro-based automated analysis, Awal M. Hadi, Koen T.B. Mouchaers, Ingrid Schalij, Katrien Grunberg, Gerrit A. Meijer, Anton Vonk-Noordegraaf, Willem J. van der Laarse and Jeroen A.M. Belien, originally published in Analytical Cellular Pathology-Cellular Oncology, Volume 33, number 5–6, 2010, pp. 257–269, IOS Press.

Electronic supplementary materialThe online version of this article doi:10.1007-s13402-011-0035-7 contains supplementary material, which is available to authorized users.

An erratum to this article can be found at http:-dx.doi.org-10.1007-s13402-011-0057-1

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Autor: Awal M. Hadi - Koen T. B. Mouchaers - Ingrid Schalij - Katrien Grunberg - Gerrit A. Meijer - Anton Vonk-Noordegraaf - Wi

Fuente: https://link.springer.com/

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