Abstract
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.
Original language | English |
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Article number | 1147462 |
Number of pages | 11 |
Journal | Frontiers in Cardiovascular Medicine |
Volume | 10 |
DOIs | |
Publication status | Published - 2 Jun 2023 |
Keywords
- vasculature
- quantification
- density
- morphometric analysis
- immunohisthochemistry
- BRAIN
- RECONSTRUCTION
- QUANTIFICATION
- DENSITY