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New automatic quantification method of immunofluorescence and histochemistry in whole histological sections.
Cell. Signal. 62:109335 (2019)
Immunofluorescent staining is a widespread tool in basic science to understand organ morphology and (patho-) physiology. The analysis of imaging data is often performed manually, limiting throughput and introducing human bias. Quantitative analysis is particularly challenging for organs with complex structure such as the kidney. In this study we present an approach for automatic quantification of fluorescent markers and histochemical stainings in whole organ sections using open source software. We validate our novel method in multiple typical challenges of basic kidney research and demonstrate its general relevance and applicability to other complex solid organs for a variety of different markers and stainings. Our newly developed software tool "AQUISTO", applied as a standard in primary data analysis, facilitates efficient large scale evaluation of cellular populations in various types of histological samples. Thereby it contributes to the characterization and understanding of (patho-) physiological processes.
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3.388
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Immunofluorescence ; Histochemistry ; Automatic Quantification ; Cell Count ; Morphology; Renin Lineage Cells; Beta
Language
english
Publication Year
2019
HGF-reported in Year
2019
ISSN (print) / ISBN
0898-6568
e-ISSN
0898-6568
Journal
Cellular Signalling
Quellenangaben
Volume: 62,
Article Number: 109335
Publisher
Elsevier
Publishing Place
Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Reviewing status
Peer reviewed
Institute(s)
Institute of Pancreatic Islet Research (IPI)
POF-Topic(s)
90000 - German Center for Diabetes Research
Research field(s)
Helmholtz Diabetes Center
PSP Element(s)
G-502600-005
WOS ID
WOS:000480669100011
Scopus ID
85067235530
PubMed ID
31170471
Erfassungsdatum
2019-06-12