henhaobio
Sign in

Nature ProtocolsNeurosciencePeer-reviewed journal article

Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain

Thomas WälchliiD, Jeroen BisschopiD, Arttu MiettineniD, Alexandra Ulmann‐Schuler, Christoph HintermülleriD, Eric P. Meyer, Thomas Krucker, Regula WaelchliiD, Philippe Patrick MonnieriD, Peter CarmelietiD, Johannes VogeliD, Marco StampanoniiD

PDFDOIPreprint

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 (CNS). Here, we describe a method that enables hierarchical imaging and computational analysis of vascular networks in postnatal- and adult mouse brains. Resin-based vascular corrosion casting, scanning electron microscopy, synchrotron radiation and desktop {micro}CT imaging, and computational network analysis are used. Combining these methods enables detailed visualization and quantification of the three-dimensional (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. Our method allows characterizing brain vascular networks separately for capillaries and non-capillaries. The entire protocol, from mouse perfusion to vessel network analysis, takes approximately 10 days. Online summaryThis protocol uses vascular corrosion casting, hierarchical synchrotron radiation {micro}CT imaging, and computational image analysis to assess the three-dimensional vascular network architecture.

Citations
81
FWCI
1.67
Field percentile
top 14%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMiettinen '21Strumane '22Todorov '19Glandorf '24Gülban '26Autio '24
74% semantic matchNeuroscience
Arttu Miettinen, Antonio G. Zippo, Alessandra Patera+4 more·bioRxiv·Mar 16, 2021· 14 citations