Callewaert Bram, Gsell Willy, Himmelreich Uwe, Jones Elizabeth A V
Center for Molecular and Vascular Biology (CMVB), Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
Biomedical MRI Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Front Cardiovasc Med. 2023 Jun 2;10:1147462. doi: 10.3389/fcvm.2023.1147462. eCollection 2023.
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.
随着我们成像能力的提高,对合适的图像量化工具的需求也在增加。定量血管分析工具(Q-VAT)是一款为 Fiji(ImageJ)编写的开源软件,可对整个组织切片的大型二维图像进行自动分析和量化。重要的是,它允许根据直径对血管测量进行分离,从而能够分别对大血管和微血管进行量化。为了在常规实验室计算机上对整个组织切片进行分析,大样本的血管网络采用逐块分析的方式,显著减少了工作量,并避免了与手动量化相关的若干限制。可以对双重或三重染色的玻片进行分析,对染色重叠的血管百分比进行量化。为了展示其多功能性,我们应用 Q-VAT 在各种小鼠组织的全层免疫染色切片的显微镜图像中获取血管网络的形态学读数。