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Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs

Philippa Spangenberg, Nina Hagemann, Anthony Squire, Nils Förster, Sascha D. Krauß, Yachao Qi, Ayan Mohamud Yusuf, Jing Wang, Anika Grüneboom, Lennart Kowitz, Sebastian Korste, Matthias Totzeck, Zülal Cibir, Ali Ata Tuz, View ORCID ProfileVikramjeet Singh, Devon Siemes, Laura Struensee, Daniel R. Engel, Peter Ludewig, Luiza Martins Nascentes Melo, Iris Helfrich, Jianxu Chen, Matthias Gunzer, Dirk M. Hermann, Axel Mosig
doi: https://doi.org/10.1101/2022.09.14.507895
Philippa Spangenberg
1Department of Immunodynamics, Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
4Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
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Nina Hagemann
2Department of Neurology, University Hospital Essen, Essen, Germany
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Anthony Squire
3Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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Nils Förster
4Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
9Bioinformatics Group, Faculty for Biology and Biotechnology, Ruhr-University Bochum, Germany
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Sascha D. Krauß
3Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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Yachao Qi
2Department of Neurology, University Hospital Essen, Essen, Germany
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Ayan Mohamud Yusuf
2Department of Neurology, University Hospital Essen, Essen, Germany
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Jing Wang
2Department of Neurology, University Hospital Essen, Essen, Germany
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Anika Grüneboom
5Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
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Lennart Kowitz
5Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
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Sebastian Korste
6Department of Cardiology and Vascular Medicine, University Hospital Essen, Essen, Germany
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Matthias Totzeck
6Department of Cardiology and Vascular Medicine, University Hospital Essen, Essen, Germany
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Zülal Cibir
3Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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Ali Ata Tuz
3Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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Vikramjeet Singh
3Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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  • ORCID record for Vikramjeet Singh
Devon Siemes
1Department of Immunodynamics, Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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Laura Struensee
4Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
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Daniel R. Engel
1Department of Immunodynamics, Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
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Peter Ludewig
7Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Luiza Martins Nascentes Melo
8Clinic of Dermatology, University Hospital Essen, Essen, Germany
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Iris Helfrich
8Clinic of Dermatology, University Hospital Essen, Essen, Germany
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Jianxu Chen
5Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
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Matthias Gunzer
3Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
5Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
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  • For correspondence: axel.mosig@rub.de Dirk.Hermann@uk-essen.de Matthias.Gunzer@uni-due.de
Dirk M. Hermann
2Department of Neurology, University Hospital Essen, Essen, Germany
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  • For correspondence: axel.mosig@rub.de Dirk.Hermann@uk-essen.de Matthias.Gunzer@uni-due.de
Axel Mosig
4Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
9Bioinformatics Group, Faculty for Biology and Biotechnology, Ruhr-University Bochum, Germany
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  • For correspondence: axel.mosig@rub.de Dirk.Hermann@uk-essen.de Matthias.Gunzer@uni-due.de
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Abstract

Blood vasculature represents a complex network of vessels with varying lengths and diameters that are precisely organized in space to allow proper tissue function. Light-sheet fluorescence microscopy (LSFM) is very useful to generate tomograms of tissue vasculature with high spatial accuracy. Yet, quantitative LSFM analysis is still cumbersome and available methods are restricted to single organs and advanced computing hardware. Here, we introduce VesselExpress, an automated software that reliably analyzes six characteristic vascular network parameters including vessel diameter in LSFM data on average computing hardware. VesselExpress is ~100 times faster than other existing vessel analysis tools, requires no user interaction, integrates batch processing, and parallelization. Employing an innovative dual Frangi filter approach we show that obesity induces a large-scale modulation of brain vasculature in mice and that seven other major organs differ strongly in their 3D vascular makeup. Hence, VesselExpress transforms LSFM from an observational to an analytical working tool.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://zenodo.org/record/6025935#.YyGN5S0RqJ8

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs
Philippa Spangenberg, Nina Hagemann, Anthony Squire, Nils Förster, Sascha D. Krauß, Yachao Qi, Ayan Mohamud Yusuf, Jing Wang, Anika Grüneboom, Lennart Kowitz, Sebastian Korste, Matthias Totzeck, Zülal Cibir, Ali Ata Tuz, Vikramjeet Singh, Devon Siemes, Laura Struensee, Daniel R. Engel, Peter Ludewig, Luiza Martins Nascentes Melo, Iris Helfrich, Jianxu Chen, Matthias Gunzer, Dirk M. Hermann, Axel Mosig
bioRxiv 2022.09.14.507895; doi: https://doi.org/10.1101/2022.09.14.507895
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Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs
Philippa Spangenberg, Nina Hagemann, Anthony Squire, Nils Förster, Sascha D. Krauß, Yachao Qi, Ayan Mohamud Yusuf, Jing Wang, Anika Grüneboom, Lennart Kowitz, Sebastian Korste, Matthias Totzeck, Zülal Cibir, Ali Ata Tuz, Vikramjeet Singh, Devon Siemes, Laura Struensee, Daniel R. Engel, Peter Ludewig, Luiza Martins Nascentes Melo, Iris Helfrich, Jianxu Chen, Matthias Gunzer, Dirk M. Hermann, Axel Mosig
bioRxiv 2022.09.14.507895; doi: https://doi.org/10.1101/2022.09.14.507895

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