Vessel Network Quantification
Vessel Network Quantification - Related Videos
05:50
Contrast Enhanced Vessel Imaging using MicroCT
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Cited by 17 •
2011
Contrast enhanced small animal vessel imaging by microCT is a rapid, cost-effective and high-throughput technique for serial in situ examination for tumor development, for analyzing the network of blood vessels that nourish them, and for following the response of tumors to preclinical therapeutic intervention(s).
00:07
Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Cited by 14 •
2019
Quantitative Multiplex Immunoprecipitation (QMI) uses flow cytometry for sensitive detection of differences in the abundance of targeted protein-protein interactions between two samples. QMI can be performed using a small amount of biomaterial, does not require genetically engineered tags, and can be adapted for any previously defined protein interaction network.
13:10
Stability of Floating Vessels
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2023
Source: Alexander S Rattner and Kevin Rao Li Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA The objective of this experiment is to demonstrate the phenomenon of stability of floating vessels - the ability to self-right when rolled over to the side by some external force. Careful design of hull shapes and internal mass distribution enables seagoing vessels to be stable with low drafts (submerged depth of hull), improving vessel...
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
08:25
Analysis of Coronary Vessels in Cleared Embryonic Hearts
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Cited by 11 •
2016
We present a protocol for the analysis of coronary vessels in whole embryonic murine hearts up to E15.5, using standard immunological staining methods followed by optical clearance and confocal microscopy. This technique enables visualization of blood vessels throughout the entire heart without the need for time-consuming analysis of serial sections.
FAQs
Image segmentation separates vessel structures from background so subsequent measurements correspond to the network rather than the entire image. The resulting representation supports calculation of length, diameter, density, branching, and connectivity. Consistent segmentation is therefore important when comparing engineered tissues, biomaterials, or culture conditions and when seeking reproducible evidence of network formation.
These metrics describe complementary features of organization. Vessel length indicates the extent of formed structures, diameter captures their apparent size, density reflects how much of the image contains vessels, and branching describes pattern complexity. Considering them together provides a more informative assessment than relying on one measurement when evaluating network formation in engineered tissues.
A graph-based representation treats network junctions and connecting paths as distinct structural elements. This makes it possible to describe how vessels are linked and how paths traverse the network, adding information beyond measurements of isolated length or diameter. Such connectivity analysis is especially relevant when determining whether an engineered construct has an organized network capable of supporting transport and perfusion.
The workflow begins with microscopy images of the vessel-like network, followed by segmentation to distinguish vessels from background. The segmented representation is then analyzed for structural and spatial metrics, including length, diameter, density, branching, and connectivity. Researchers can also construct a graph of junctions and paths, then apply the same measurement strategy across samples for standardized comparison.
It is useful when researchers need objective evidence that a biomaterial or culture condition changes network formation or organization. Measuring multiple features allows samples to be compared using structural and spatial outcomes rather than visual impressions alone. This approach supports evaluation of angiogenesis in engineered tissues and helps identify conditions associated with more organized vascular networks.
Quantitative network measurements help assess whether engineered tissues, organoids, or regenerative therapy constructs develop vascular features relevant to transport and perfusion. The results can guide design decisions by revealing differences in network organization and connectivity among constructs. Standardized analysis also strengthens reproducibility, making it easier to evaluate vascularization strategies across experiments and material systems.