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Q-VAT: Quantitative Vascular Analysis Tool
As our imaging capability increase, so does our need for appropriate image quantification tools. Quantitative Vascular Analysis Tool (Q-VAT) is an open-source software, written for Fiji (ImageJ), that perform automated analysis and quantification on large two-dimensional images of whole tissue secti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272742/ https://www.ncbi.nlm.nih.gov/pubmed/37332588 http://dx.doi.org/10.3389/fcvm.2023.1147462 |
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author | Callewaert, Bram Gsell, Willy Himmelreich, Uwe Jones, Elizabeth A. V. |
author_facet | Callewaert, Bram Gsell, Willy Himmelreich, Uwe Jones, Elizabeth A. V. |
author_sort | Callewaert, Bram |
collection | PubMed |
description | As our imaging capability increase, so does our need for appropriate image quantification tools. Quantitative Vascular Analysis Tool (Q-VAT) is an open-source software, written for Fiji (ImageJ), that perform automated analysis and quantification on large two-dimensional images of whole tissue sections. Importantly, it allows separation of the vessel measurement based on diameter, allowing the macro- and microvasculature to be quantified separately. To enable analysis of entire tissue sections on regular laboratory computers, the vascular network of large samples is analyzed in a tile-wise manner, significantly reducing labor and bypassing several limitations related to manual quantification. Double or triple-stained slides can be analyzed, with a quantification of the percentage of vessels where the staining's overlap. To demonstrate the versatility, we applied Q-VAT to obtain morphological read-outs of the vasculature network in microscopy images of whole-mount immuno-stained sections of various mouse tissues. |
format | Online Article Text |
id | pubmed-10272742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102727422023-06-17 Q-VAT: Quantitative Vascular Analysis Tool Callewaert, Bram Gsell, Willy Himmelreich, Uwe Jones, Elizabeth A. V. Front Cardiovasc Med Cardiovascular Medicine As our imaging capability increase, so does our need for appropriate image quantification tools. Quantitative Vascular Analysis Tool (Q-VAT) is an open-source software, written for Fiji (ImageJ), that perform automated analysis and quantification on large two-dimensional images of whole tissue sections. Importantly, it allows separation of the vessel measurement based on diameter, allowing the macro- and microvasculature to be quantified separately. To enable analysis of entire tissue sections on regular laboratory computers, the vascular network of large samples is analyzed in a tile-wise manner, significantly reducing labor and bypassing several limitations related to manual quantification. Double or triple-stained slides can be analyzed, with a quantification of the percentage of vessels where the staining's overlap. To demonstrate the versatility, we applied Q-VAT to obtain morphological read-outs of the vasculature network in microscopy images of whole-mount immuno-stained sections of various mouse tissues. Frontiers Media S.A. 2023-06-02 /pmc/articles/PMC10272742/ /pubmed/37332588 http://dx.doi.org/10.3389/fcvm.2023.1147462 Text en © 2023 Callewaert, Gsell, Himmelreich and Jones. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Callewaert, Bram Gsell, Willy Himmelreich, Uwe Jones, Elizabeth A. V. Q-VAT: Quantitative Vascular Analysis Tool |
title | Q-VAT: Quantitative Vascular Analysis Tool |
title_full | Q-VAT: Quantitative Vascular Analysis Tool |
title_fullStr | Q-VAT: Quantitative Vascular Analysis Tool |
title_full_unstemmed | Q-VAT: Quantitative Vascular Analysis Tool |
title_short | Q-VAT: Quantitative Vascular Analysis Tool |
title_sort | q-vat: quantitative vascular analysis tool |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272742/ https://www.ncbi.nlm.nih.gov/pubmed/37332588 http://dx.doi.org/10.3389/fcvm.2023.1147462 |
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