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Q-VAT: Quantitative Vascular Analysis Tool.
Callewaert, Bram; Gsell, Willy; Himmelreich, Uwe; Jones, Elizabeth A V.
Afiliación
  • Callewaert B; Center for Molecular and Vascular Biology (CMVB), Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
  • Gsell W; Biomedical MRI Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Himmelreich U; Biomedical MRI Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Jones EAV; Biomedical MRI Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Front Cardiovasc Med ; 10: 1147462, 2023.
Article en En | MEDLINE | ID: mdl-37332588
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.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Cardiovasc Med Año: 2023 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Cardiovasc Med Año: 2023 Tipo del documento: Article País de afiliación: Bélgica