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Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs
Light-sheet fluorescence microscopy (LSFM) can produce high-resolution tomograms of tissue vasculature with high accuracy. However, data processing and analysis is laborious due to the size of the datasets. Here, we introduce VesselExpress, an automated software that reliably analyzes six characteri...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088239/ https://www.ncbi.nlm.nih.gov/pubmed/37056368 http://dx.doi.org/10.1016/j.crmeth.2023.100436 |
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author | Spangenberg, Philippa Hagemann, Nina Squire, Anthony Förster, Nils Krauß, Sascha D. Qi, Yachao Mohamud Yusuf, Ayan Wang, Jing Grüneboom, Anika Kowitz, Lennart Korste, Sebastian Totzeck, Matthias Cibir, Zülal Tuz, Ali Ata Singh, Vikramjeet Siemes, Devon Struensee, Laura Engel, Daniel R. Ludewig, Peter Martins Nascentes Melo, Luiza Helfrich, Iris Chen, Jianxu Gunzer, Matthias Hermann, Dirk M. Mosig, Axel |
author_facet | Spangenberg, Philippa Hagemann, Nina Squire, Anthony Förster, Nils Krauß, Sascha D. Qi, Yachao Mohamud Yusuf, Ayan Wang, Jing Grüneboom, Anika Kowitz, Lennart Korste, Sebastian Totzeck, Matthias Cibir, Zülal Tuz, Ali Ata Singh, Vikramjeet Siemes, Devon Struensee, Laura Engel, Daniel R. Ludewig, Peter Martins Nascentes Melo, Luiza Helfrich, Iris Chen, Jianxu Gunzer, Matthias Hermann, Dirk M. Mosig, Axel |
author_sort | Spangenberg, Philippa |
collection | PubMed |
description | Light-sheet fluorescence microscopy (LSFM) can produce high-resolution tomograms of tissue vasculature with high accuracy. However, data processing and analysis is laborious due to the size of the datasets. 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, and 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. |
format | Online Article Text |
id | pubmed-10088239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100882392023-04-12 Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs Spangenberg, Philippa Hagemann, Nina Squire, Anthony Förster, Nils Krauß, Sascha D. Qi, Yachao Mohamud Yusuf, Ayan Wang, Jing Grüneboom, Anika Kowitz, Lennart Korste, Sebastian Totzeck, Matthias Cibir, Zülal Tuz, Ali Ata Singh, Vikramjeet Siemes, Devon Struensee, Laura Engel, Daniel R. Ludewig, Peter Martins Nascentes Melo, Luiza Helfrich, Iris Chen, Jianxu Gunzer, Matthias Hermann, Dirk M. Mosig, Axel Cell Rep Methods Article Light-sheet fluorescence microscopy (LSFM) can produce high-resolution tomograms of tissue vasculature with high accuracy. However, data processing and analysis is laborious due to the size of the datasets. 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, and 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. Elsevier 2023-03-17 /pmc/articles/PMC10088239/ /pubmed/37056368 http://dx.doi.org/10.1016/j.crmeth.2023.100436 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Spangenberg, Philippa Hagemann, Nina Squire, Anthony Förster, Nils Krauß, Sascha D. Qi, Yachao Mohamud Yusuf, Ayan Wang, Jing Grüneboom, Anika Kowitz, Lennart Korste, Sebastian Totzeck, Matthias Cibir, Zülal Tuz, Ali Ata Singh, Vikramjeet Siemes, Devon Struensee, Laura Engel, Daniel R. Ludewig, Peter Martins Nascentes Melo, Luiza Helfrich, Iris Chen, Jianxu Gunzer, Matthias Hermann, Dirk M. Mosig, Axel Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs |
title | Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs |
title_full | Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs |
title_fullStr | Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs |
title_full_unstemmed | Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs |
title_short | Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs |
title_sort | rapid and fully automated blood vasculature analysis in 3d light-sheet image volumes of different organs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088239/ https://www.ncbi.nlm.nih.gov/pubmed/37056368 http://dx.doi.org/10.1016/j.crmeth.2023.100436 |
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