Publication: Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain
Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain
Date
Date
Date
| cris.lastimport.scopus | 2025-06-13T03:36:24Z | |
| cris.lastimport.wos | 2025-07-25T01:34:03Z | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2022-02-04T16:16:34Z | |
| dc.date.available | 2022-02-04T16:16:34Z | |
| dc.date.issued | 2021-10-01 | |
| dc.description.abstract | The formation of new blood vessels and the establishment of vascular networks are crucial during brain development, in the adult healthy brain, as well as in various diseases of the central nervous system. Here, we describe a step-by-step protocol for our recently developed method that enables hierarchical imaging and computational analysis of vascular networks in postnatal and adult mouse brains. The different stages of the procedure include resin-based vascular corrosion casting, scanning electron microscopy, synchrotron radiation and desktop microcomputed tomography imaging, and computational network analysis. Combining these methods enables detailed visualization and quantification of the 3D brain vasculature. Network features such as vascular volume fraction, branch point density, vessel diameter, length, tortuosity and directionality as well as extravascular distance can be obtained at any developmental stage from the early postnatal to the adult brain. This approach can be used to provide a detailed morphological atlas of the entire mouse brain vasculature at both the postnatal and the adult stage of development. Our protocol allows the characterization of brain vascular networks separately for capillaries and noncapillaries. The entire protocol, from mouse perfusion to vessel network analysis, takes ~10 d. | |
| dc.identifier.doi | 10.1038/s41596-021-00587-1 | |
| dc.identifier.issn | 1750-2799 | |
| dc.identifier.scopus | 2-s2.0-85114615393 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/191164 | |
| dc.identifier.wos | 000692457700001 | |
| dc.language.iso | eng | |
| dc.subject | General Biochemistry | |
| dc.subject | Genetics and Molecular Biology | |
| dc.subject.ddc | 570 Life sciences; biology | |
| dc.title | Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain | |
| dc.type | article | |
| dcterms.accessRights | info:eu-repo/semantics/closedAccess | |
| dcterms.bibliographicCitation.journaltitle | Nature Protocols | |
| dcterms.bibliographicCitation.number | 10 | |
| dcterms.bibliographicCitation.originalpublishername | Nature Publishing Group | |
| dcterms.bibliographicCitation.pageend | 4610 | |
| dcterms.bibliographicCitation.pagestart | 4564 | |
| dcterms.bibliographicCitation.pmid | 34480130 | |
| dcterms.bibliographicCitation.volume | 16 | |
| dspace.entity.type | Publication | en |
| uzh.contributor.affiliation | UniversitatsSpital Zurich, Toronto Western Hospital University of Toronto, University of Toronto Faculty of Medicine | |
| uzh.contributor.affiliation | UniversitatsSpital Zurich, Toronto Western Hospital University of Toronto, University of Toronto Faculty of Medicine | |
| uzh.contributor.affiliation | Paul Scherrer Institut, ETH Zürich, University of Jyvaskyla | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Johannes Kepler Universitat Linz | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Novartis Institutes for BioMedical Research, Inc. | |
| uzh.contributor.affiliation | Kinderspital Zürich | |
| uzh.contributor.affiliation | University of Toronto Faculty of Medicine, Krembil Discovery Tower | |
| uzh.contributor.affiliation | KU Leuven, Flanders Interuniversity Institute for Biotechnology | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Paul Scherrer Institut, ETH Zürich | |
| uzh.contributor.author | Wälchli, Thomas | |
| uzh.contributor.author | Bisschop, Jeroen | |
| uzh.contributor.author | Miettinen, Arttu | |
| uzh.contributor.author | Ulmann-Schuler, Alexandra | |
| uzh.contributor.author | Hintermüller, Christoph | |
| uzh.contributor.author | Meyer, Eric P | |
| uzh.contributor.author | Krucker, Thomas | |
| uzh.contributor.author | Wälchli, Regula | |
| uzh.contributor.author | Monnier, Philippe P | |
| uzh.contributor.author | Carmeliet, Peter | |
| uzh.contributor.author | Vogel, Johannes | |
| uzh.contributor.author | Stampanoni, Marco | |
| uzh.contributor.correspondence | Yes | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.document.availability | no_document | |
| uzh.eprint.datestamp | 2022-02-04 16:16:34 | |
| uzh.eprint.lastmod | 2025-07-25 01:42:50 | |
| uzh.eprint.statusChange | 2022-02-04 16:16:34 | |
| uzh.harvester.eth | No | |
| uzh.harvester.nb | No | |
| uzh.jdb.eprintsId | 20445 | |
| uzh.oastatus.unpaywall | green | |
| uzh.oastatus.zora | Closed | |
| uzh.publication.citation | Wälchli, Thomas; Bisschop, Jeroen; Miettinen, Arttu; Ulmann-Schuler, Alexandra; Hintermüller, Christoph; Meyer, Eric P; Krucker, Thomas; Wälchli, Regula; Monnier, Philippe P; Carmeliet, Peter; Vogel, Johannes; Stampanoni, Marco (2021). Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain. Nature Protocols, 16(10):4564-4610. | |
| uzh.publication.originalwork | further | |
| uzh.publication.publishedStatus | final | |
| uzh.scopus.impact | 40 | |
| uzh.scopus.subjects | General Biochemistry, Genetics and Molecular Biology | |
| uzh.workflow.doaj | uzh.workflow.doaj.false | |
| uzh.workflow.eprintid | 212877 | |
| uzh.workflow.fulltextStatus | none | |
| uzh.workflow.revisions | 42 | |
| uzh.workflow.rightsCheck | keininfo | |
| uzh.workflow.source | CrossRef:10.1038/s41596-021-00587-1 | |
| uzh.workflow.status | archive | |
| uzh.wos.impact | 42 | |
| Publication available in collections: |