AutoTube: a novel software for the automated morphometric analysis of vascular networks in tissues

• Published in: Angiogenesis (London) Vol. 22; no. 2; pp. 223 - 236
• Main Authors: Montoya-Zegarra, Javier A., Russo, Erica, Runge, Peter, Jadhav, Maria, Willrodt, Ann-Helen, Stoma, Szymon, Nørrelykke, Simon F., Detmar, Michael, Halin, Cornelia
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.05.2019; Springer Nature B.V
• Subjects: Abnormalities; Angiogenesis; Animals; Automation; Biomedical and Life Sciences; Biomedicine; Blood vessels; Cancer Research; Cardiology; Cell Biology; Cell Communication - physiology; Cell Count - methods; Cell Size; Cells, Cultured; Computer programs; Endothelial cells; Endothelial Cells - cytology; Endothelial Cells - physiology; Graphical user interface; Humans; Image processing; Image Processing, Computer-Assisted - methods; Lymphangiogenesis - physiology; Lymphatic system; Lymphatic Vessels - cytology; Lymphatic Vessels - physiology; Mice; Mice, Inbred C57BL; Mice, Knockout; Microvessels - cytology; Morphology; Morphometry; Neovascularization, Physiologic - physiology; Networks; Oncology; Ophthalmology; Original Paper; Parameter identification; Software; Statistical analysis; Tissues; Blood vessels; Whole-mounts; Tube formation; Quantification; Lymphatic vessels; Morphometric analysis
• ISSN: 0969-6970; 1573-7209
• DOI: 10.1007/s10456-018-9652-3

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.