AutoTube: a novel software for the automated morphometric analysis of vascular networks in tissues
| Autor: | Erica Russo, Maria Jadhav, Peter Runge, Szymon Stoma, Javier A. Montoya-Zegarra, Cornelia Halin, Simon F. Norrelykke, Michael Detmar, Ann-Helen Willrodt |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Cancer Research Lymphatic vessels Blood vessels Quantification Morphometric analysis Whole-mounts Tube formation Physiology Angiogenesis Clinical Biochemistry Neovascularization Physiologic Cell Count Cell Communication Biology 03 medical and health sciences Mice 0302 clinical medicine Software Image Processing Computer-Assisted Animals Humans Lymphangiogenesis Cells Cultured Cell Size Whole mount Mice Knockout Original Paper business.industry In vitro toxicology Endothelial Cells Mice Inbred C57BL 030104 developmental biology Lymphatic system Vascular morphology 030220 oncology & carcinogenesis Microvessels business Biomedical engineering |
| Zdroj: | Angiogenesis Angiogenesis, 22 (2) |
| DOI: | 10.3929/ethz-b-000315996 |
| Popis: | Due to their involvement in many physiologic and pathologic processes, there is a great interest in identifying new molecular pathways that mediate the formation and function of blood and lymphatic vessels. Vascular research increasingly involves the image-based analysis and quantification of vessel networks in tissue whole-mounts or of tube-like structures formed by cultured endothelial cells in vitro. While both types of experiments deliver important mechanistic insights into (lymph)angiogenic processes, the manual analysis and quantification of such experiments are typically labour-intensive and affected by inter-experimenter variability. To bypass these problems, we developed AutoTube, a new software that quantifies parameters like the area covered by vessels, vessel width, skeleton length and branching or crossing points of vascular networks in tissues and in in vitro assays. AutoTube is freely downloadable, comprises an intuitive graphical user interface and helps to perform otherwise highly time-consuming image analyses in a rapid, automated and reproducible manner. By analysing lymphatic and blood vascular networks in whole-mounts prepared from different tissues or from gene-targeted mice with known vascular abnormalities, we demonstrate the ability of AutoTube to determine vascular parameters in close agreement to the manual analyses and to identify statistically significant differences in vascular morphology in tissues and in vascular networks formed in in vitro assays. Angiogenesis, 22 (2) |
| Databáze: | OpenAIRE |
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