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Related Concept Videos

Overview of the Vascular System01:20

Overview of the Vascular System

The vascular system comprises an extensive network of arteries, capillaries, and veins. The vascular system can be broadly divided into the blood and lymphatic systems. Typically, blood vessels can be categorized into three histological regions: tunica intima, tunica media, and tunica adventitia. The tunica intima consists of a single layer of endothelial cells attached to the basal lamina. Underlying the basal lamina is a connective tissue layer and an elastic lamina that gives stability and...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

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Related Experiment Video

Updated: Jul 2, 2026

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
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A rapid, nondestructive method for vascular network visualization.

Austin Veith1, Aaron B Baker1

  • 1University of Texas at Austin, Austin, TX, USA.

Biotechniques
|October 28, 2020
PubMed
Summary
This summary is machine-generated.

We developed a new, non-damaging method for imaging blood vessels in tissues using iodine-enhanced micro-CT and deep learning. This technique allows for detailed 3D reconstruction of vascular networks for further analysis.

Keywords:
blood vesselsconvolutional neural networksimagingmicroCTmicrovasculaturenondestructivevasculaturevisualization

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Pathology

Background:

  • Quantitative analysis of blood vessel networks is crucial for studying diseases in animal models.
  • Existing methods may not allow for subsequent analyses on the same tissue sample.

Purpose of the Study:

  • To present a nondestructive technique for in situ blood vessel imaging in harvested tissues.
  • To enable subsequent histological and other analyses on the same tissue sample.
  • To augment existing analysis methods with 3D vascular reconstruction.

Main Methods:

  • Iodine-enhanced micro-computed tomography (micro-CT) for tissue contrast.
  • Deep learning algorithm for automated vasculature segmentation.
  • Integration of imaging with downstream tissue analysis.

Main Results:

  • Successful visualization of intact vasculature in harvested tissues.
  • Demonstration of the method's compatibility with subsequent histological analysis.
  • Generation of detailed three-dimensional reconstructions of vascular networks.

Conclusions:

  • The described technique offers a simple yet powerful approach for nondestructive blood vessel imaging.
  • It provides valuable insights into complex vascular changes in disease models.
  • The method facilitates comprehensive analysis by combining imaging with histology.