VESNA: an open-source tool for automated 3D vessel segmentation and network analysis
With its ability to process large amounts of 3D image data and its flexibility across experimental conditions, VESNA fulfills previously unmet needs in image processing of vascular structures and can be a valuable tool for a variety of experimental setups around three-dimensional vasculature, such as drug screening, research in tissue development and disease mechanisms.
Authors
- Philipp Wörsdörfer (ORCID: https://orcid.org/0000-0003-3398-3229)
- Leyla Doğan
- Süleyman Ergün (ORCID: https://orcid.org/0000-0002-2112-5377)
- Sabine Fischer (ORCID: https://orcid.org/0000-0001-7237-814X)
- Magdalena Schüttler
- Jana Kirchner
Institutions
- University of Würzburg (DE)
- Atlas Üniversitesi
- Istanbul Arel University (TR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12859-025-06270-6
- Primary Topic
- Angiogenesis and VEGF in Cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00