Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Structure of Blood Vessels01:15

Structure of Blood Vessels

8.9K
Blood is circulated throughout the human body through a network of blood vessels called the circulatory system. This system includes arteries that transport blood from the heart to various body parts. These arterial pathways divide into smaller vessels until they reach the arterioles, which further split into capillaries. It is within these minuscule capillaries that the exchange of nutrients and waste products takes place. After this exchange, the blood is collected by venules, which fuse to...
8.9K
Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Viral Structure00:56

Viral Structure

74.0K
Viruses are extraordinarily diverse in shape and size, but they all have several structural features in common. All viruses have a core that contains a DNA- or RNA-based genome. The core is surrounded by a protective coat of proteins called the capsid. The capsid is composed of subunits called capsomeres. The capsid and genome-containing core are together known as the nucleocapsid.
74.0K
Structure of Lipids03:38

Structure of Lipids

98.4K
Lipids include a diverse group of compounds that are largely nonpolar in nature. This is because they are hydrocarbons that include mostly nonpolar carbon-carbon or carbon-hydrogen bonds. Non-polar molecules are hydrophobic (“water fearing”), or insoluble in water. Lipids perform many different functions in a cell. Cells store energy for long-term use in the form of fats. Lipids also provide insulation from the environment for plants and animals. For example, they help keep aquatic...
98.4K
Anatomy of Blood Vessels01:20

Anatomy of Blood Vessels

2.6K
The vascular system, an integral part of the circulatory system, comprises various blood vessels that play crucial roles in maintaining the body's homeostasis. These blood vessels form a complex and efficient circulatory network. The three primary categories of blood vessels are the arteries, veins, and capillaries.
Arteries
Arteries circulate oxygenated blood from the heart, except the pulmonary artery, which transports deoxygenated blood to the lungs. Large arteries, such as the aorta,...
2.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Exploring the robustness of permutation entropy analysis to differentiate between closed-eyes and open-eyes resting states.

Chaos (Woodbury, N.Y.)·2026
Same author

Unveiling synchronization transitions in networks of coupled oscillators through persistent homology of local structures.

Scientific reports·2025
Same author

Photonic neuromorphic computing using symmetry-protected zero modes in coupled nanolaser arrays.

Nature communications·2025
Same author

Detection of Significant Seismic Quiescence Patterns in the Mexican Subduction Zone Using Extended Schreider Algorithms.

Entropy (Basel, Switzerland)·2025
Same author

Flatness-based control for generalized synchronization of chaotic systems with large dissipation and dimension mismatch.

Chaos (Woodbury, N.Y.)·2025
Same author

Distinguishing dynamical regimes in a semiconductor laser with optical feedback by using event-detection methods.

Chaos (Woodbury, N.Y.)·2025

Related Experiment Video

Updated: Jan 21, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
07:22

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

11.9K

Network-based features for retinal fundus vessel structure analysis.

Pablo Amil1, Cesar F Reyes-Manzano2, Lev Guzmán-Vargas2

  • 1Nonlinear Dynamics, Nonlinear Optics and Lasers, Universitat Politècnica de Catalunya, Terrassa, Spain.

Plos One
|July 26, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to analyze retinal blood vessel structure using graph theory and fractal analysis. The findings reveal significant differences in retinal vasculature between healthy individuals and those with diabetic retinopathy or glaucoma.

More Related Videos

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images
04:04

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images

Published on: May 19, 2023

1.2K
Smartphone Fundus Photography
05:51

Smartphone Fundus Photography

Published on: July 6, 2017

40.1K

Related Experiment Videos

Last Updated: Jan 21, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
07:22

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

11.9K
Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images
04:04

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images

Published on: May 19, 2023

1.2K
Smartphone Fundus Photography
05:51

Smartphone Fundus Photography

Published on: July 6, 2017

40.1K

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computational Biology

Background:

  • Retinal fundus imaging visualizes blood vessels, crucial for detecting diseases like diabetic retinopathy (DR) and glaucoma.
  • Alterations in retinal vasculature are key indicators of ocular pathologies.

Purpose of the Study:

  • To develop and validate a novel computational method for quantifying changes in retinal blood vessel structure.
  • To differentiate between healthy retinas and those affected by diabetic retinopathy or glaucoma using quantitative analysis.

Main Methods:

  • An automatic unsupervised segmentation algorithm was employed to extract a tree-like graph of the retinal vasculature.
  • Graph analysis quantified structural differences, and fractal analysis characterized the vascular networks.
  • The method was applied to three independent retinal fundus image databases.

Main Results:

  • Significant differences (p < 0.005 or 0.001) were identified between healthy and non-healthy patient groups across all databases.
  • The analysis demonstrated sensitivity to the segmentation method (manual vs. automatic) and image resolution.

Conclusions:

  • The proposed graph and fractal analysis method effectively quantifies retinal blood vessel structural changes.
  • This approach shows promise for objective diagnosis and monitoring of diabetic retinopathy and glaucoma.