Vascular Network Analysis
Vascular Network Analysis - Related Videos
03:33
Visualization of Neural and Vascular Networks in a Chicken Embryo
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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
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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.
09:33
Three-dimensional Rendering and Analysis of Immunolabeled, Clarified Human Placental Villous Vascular Networks
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Cited by 12 •
2018
This study presents a protocol for the reversible tissue clearing, immunostaining, 3D-rendering and analysis of vascular networks in human placenta villi samples on the order of 1 - 2 mm3.
12:09
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Cited by 35 •
2014
The Default Mode Network (DMN) in Temporal Lobe Epilepsy (TLE) is analyzed in the resting state of the brain using seed-based functional connectivity MRI (fcMRI).
07:05
Perfusable Vascular Network with a Tissue Model in a Microfluidic Device
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Cited by 10 •
2018
The protocol describes how to engineer a perfusable vascular network in a spheroid. The spheroid's surrounding microenvironment is devised to induce angiogenesis and connect the spheroid to the microchannels in a microfluidic device. The method allows the perfusion of the spheroid, which is a long-awaited technique in three-dimensional cultures.
FAQs
Measurement choice should match the vascular question being studied. Vessel diameter, length, branching, density, and connectivity describe different aspects of the same network, while segmentation converts an angiographic or microscopic image into an analyzable vessel representation. Examining these measures together provides a more complete account of vascular organization than relying on one structural feature alone.
Connectivity adds information that measurements of vessel size alone cannot provide. It captures how vessel segments are linked within the network, while branching describes how the structure divides into subsidiary paths. Considering both features helps characterize organization and supports comparisons of vascular patterns across disease-related settings.
The same quantitative framework can be used to examine angiogenesis and vascular remodeling because both may alter measurable network features. Changes in diameter, length, branching, density, or connectivity can therefore be organized as structural observations, allowing investigators to describe how vascular patterns differ across disease-related settings without reducing the analysis to a single measurement.
A typical workflow begins with angiographic or microscopic image data, followed by segmentation of the vessel structures. The resulting representation is then evaluated for diameter, length, branching, density, and connectivity. Those measurements can be compared across samples or conditions to characterize vascular organization and provide quantitative evidence for disease assessment or treatment evaluation.
In medicine, the approach helps characterize vascular abnormalities associated with cardiovascular and neurological disease, as well as vascular behavior in tumors. It can also be used to study angiogenesis and remodeling and to examine tumor perfusion. These applications make network-level measurements relevant to both disease characterization and evaluation of therapeutic effects.
By converting complex vessel patterns into measurable parameters, investigators can compare vascular organization rather than relying only on visual description. The resulting measurements support disease assessment, treatment evaluation, and development of more precise diagnostic and research methods. Their value lies in making structural differences explicit enough to analyze across vascular conditions and experimental settings.