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.

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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
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article

VESNA: an open-source tool for automated 3D vessel segmentation and network analysis

Philipp Wörsdörfer, Leyla Doğan, Süleyman Ergün, Sabine Fischer et al.
BMC Bioinformatics
Angiogenesis and VEGF in Cancer
article

VESNA: an open-source tool for automated 3D vessel segmentation and network analysis

Philipp Wörsdörfer, Leyla Doğan, Süleyman Ergün, Sabine Fischer, Magdalena Schüttler, Jana Kirchner
article en

Abstract

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.

BMC BioinformaticsVol. 26(1)
University of Würzburg (DE), Atlas Üniversitesi, Istanbul Arel University (TR)
Openalex Percentile: Top 73%
Angiogenesis and VEGF in Cancer
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VESNA: an open-source tool for automated 3D vessel segmentation and network analysis — Philipp Wörsdörfer, Leyla Doğan, et al. · BMC Bioinformatics (2025) | TGRS Research Map | TGRS