Vascular Network Visualization
Vascular Network Visualization - Related Videos
03:33
Visualization of Neural and Vascular Networks in a Chicken Embryo
0 Views •
2025
Source: Delalande, J., et.al. Dual Labeling of Neural Crest Cells and Blood Vessels Within Chicken Embryos Using ChickGFP Neural Tube Grafting and Carbocyanine Dye DiI Injection. J. Vis. Exp. (2015)This video demonstrates the transplantation of a GFP-labeled donor neural tube from a stage-matched transgenic chicken embryo into a recipient embryo at the level of somites one to seven, followed by vascular labeling using a lipophilic fluorescent dye. The combined approach allows for direct...
10:53
Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
0 Views •
Cited by 10 •
2017
This protocol outlines the implementation of image-guided, laser-based hydrogel degradation to fabricate vascular-derived, biomimetic microfluidic networks embedded in poly(ethylene glycol) diacrylate (PEGDA) hydrogels. These biomimetic microfluidic systems may be useful for tissue engineering applications, generation of in vitro disease models, and fabrication of advanced "on-a-chip" devices.
11:10
Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice
0 Views •
Cited by 3 •
2016
Tools used for visualizing vascular regeneration require methods for contrasting the vascular trees. This film demonstrated a delicate injection technique used to achieve optimal contrasting of the vascular trees and illustrate the potential benefits resulting from a detailed analysis of the resulting specimen using µCT and histological serial sections.
09:45
Visualization of the Interstitial Cells of Cajal (ICC) Network in Mice
0 Views •
Cited by 17 •
2011
The interstitial cells of Cajal (ICC) are the pacemaker cells of the gastrointestinal (GI) tract. They form complex networks between smooth muscle cells and post-ganglionic neuronal fibers to regulate GI contractility. Here, we present immunofluorescence methods cross-sectional and whole-mount visualization of murine ICC networks.
07:19
Visualizing the Interrenal Steroidogenic Tissue and Its Vascular Microenvironment in Zebrafish
0 Views •
Cited by 8 •
2016
The interrenal gland in zebrafish is the teleostean counterpart of the mammalian adrenal gland. This protocol introduces how to perform the 3-β-hydroxysteroid dehydrogenase (Δ5-4 isomerase; 3β-Hsd) enzymatic activity assay, which detects differentiated steroidogenic cells in the developing zebrafish.
FAQs
The process translates vascular signals from microscopy or other imaging methods into measurable features, including vessel diameter, branching, density, and connectivity. These features transform visually complex patterns into structured data that can be compared across tissues or experiments. The resulting maps allow researchers to evaluate organization and distribution rather than relying only on qualitative impressions.
Each measurement describes a different aspect of vascular organization. Diameter characterizes vessel size, branching indicates how the network subdivides, density describes how extensively vessels occupy tissue, and connectivity captures how pathways link together. Evaluating these measures together provides a more complete account of network architecture and helps identify differences between brain regions or experimental conditions.
Connectivity shows how individual vessels relate to one another as an organized network rather than as isolated structures. This perspective helps researchers examine potential blood-flow pathways and determine whether vascular arrangements support coordinated distribution through tissue. In neuroscience, connectivity can also be considered alongside neuronal locations and brain regions to study neurovascular organization.
Quantitative measurements provide common structural features for comparing vascular networks across biological states. Researchers can examine whether diameter, branching, density, or connectivity differ between developmental stages, injured tissue, diseased tissue, or reference conditions. These comparisons help reveal changes in vascular organization and clarify how altered network structure relates to tissue function.
A general workflow begins by obtaining vascular signals with microscopy or another imaging method, followed by converting those signals into a representation of the vessel network. Researchers then quantify features such as diameter, branching, density, and connectivity, and compare the measurements across samples or conditions. Interpretation connects the structural results with neurovascular organization and tissue function.
Vascular maps provide a spatial framework for examining where vessels occur in relation to neurons and defined brain regions. Researchers can use this alignment to assess how capillary networks are organized around neural tissue and whether vascular features vary among regions. Such relationships contribute to studying how vascular structure supports interactions between the nervous system and its blood supply.