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

Theoretical Foundations of Nursing Practice01:30

Theoretical Foundations of Nursing Practice

17.5K
Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
17.5K
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

862
The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
862
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.2K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Prevalence of and risk factors for diabetic retinopathy: The Thessaloniki Eye Study.

Eye (London, England)·2026
Same author

The Future of Glaucoma: Data, AI, and Precision Medicine for Patient-Centered Care.

Journal of glaucoma·2026
Same author

Real-world integration of an autonomous artificial intelligence system for diabetic retinopathy screening in an endocrinology outpatient clinic.

The British journal of ophthalmology·2026
Same author

Stresses and fluid flow in lamina cribrosa through anisotropic poroelasticty.

ArXiv·2026
Same author

Stresses and fluid flow in lamina cribrosa through anisotropic poroelasticity.

Biomechanics and modeling in mechanobiology·2026
Same author

A theoretical model for the influence of age, race and ethnicity on retinal mitochondria dysfunction.

Journal of theoretical biology·2026
Same journal

The stability and bifurcations of ecosystems within resource constraints - Dedicated to Professor Shigui Ruan on the occasion of his 60th birthday.

Mathematical biosciences·2026
Same journal

The hydra and hormetic effects in a single discrete-time overcompensation model.

Mathematical biosciences·2026
Same journal

Seasonal impacts on brucellosis transmission mediated by live sheep supply-demand dynamics.

Mathematical biosciences·2026
Same journal

Optimal controls and cost-effectiveness analysis on the transmission dynamics of early blight disease in tomatoes.

Mathematical biosciences·2026
Same journal

Temperature-dependent dynamics and allee effect thresholds mediate fourfold cusp stability in biological control of invasive vectors.

Mathematical biosciences·2026
Same journal

Dynamics of a stochastic tumor-immune interaction system with an Ornstein-Uhlenbeck process.

Mathematical biosciences·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

Oxygen-Induced Retinopathy Model for Ischemic Retinal Diseases in Rodents
09:28

Oxygen-Induced Retinopathy Model for Ischemic Retinal Diseases in Rodents

Published on: September 16, 2020

9.4K

Predicting retinal tissue oxygenation using an image-based theoretical model.

Brendan C Fry1, Ehren Brant Coburn2, Spencer Whiteman2

  • 1Department of Mathematical and Computer Sciences, Metropolitan State University of Denver, P.O. Box 173362, Campus Box 38, Denver, CO 80217, USA.

Mathematical Biosciences
|August 28, 2018
PubMed
Summary
This summary is machine-generated.

This study models retinal oxygenation to understand glaucoma. Increased oxygen demand significantly widens the spread of oxygen levels in retinal vessels, indicating average oxygen is insufficient to assess tissue health.

Keywords:
GlaucomaGreen's functionsMathematical modelMicrocirculationOxygenationRetina

More Related Videos

Monitoring Dynamic Growth of Retinal Vessels in Oxygen-Induced Retinopathy Mouse Model
10:32

Monitoring Dynamic Growth of Retinal Vessels in Oxygen-Induced Retinopathy Mouse Model

Published on: April 2, 2021

4.3K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.9K

Related Experiment Videos

Last Updated: Feb 6, 2026

Oxygen-Induced Retinopathy Model for Ischemic Retinal Diseases in Rodents
09:28

Oxygen-Induced Retinopathy Model for Ischemic Retinal Diseases in Rodents

Published on: September 16, 2020

9.4K
Monitoring Dynamic Growth of Retinal Vessels in Oxygen-Induced Retinopathy Mouse Model
10:32

Monitoring Dynamic Growth of Retinal Vessels in Oxygen-Induced Retinopathy Mouse Model

Published on: April 2, 2021

4.3K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.9K

Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Computational Biology

Background:

  • Impaired oxygen delivery contributes to retinal ganglion cell loss in glaucoma.
  • Glaucoma is characterized by progressive vision loss, often linked to vascular dysfunction.

Purpose of the Study:

  • To develop and utilize a theoretical model for predicting retinal blood and tissue oxygenation.
  • To investigate the relationship between oxygen demand, blood flow, and oxygen distribution in the retinal vasculature.

Main Methods:

  • Confocal microscopy images of mouse retina were used to create a detailed model of retinal vasculature.
  • A Green's function approach and numerical methods were employed to simulate oxygen levels, blood flow, and pressure.
  • The model predicted oxygen distribution within a heterogeneous network of retinal microvessels.

Main Results:

  • Increased oxygen demand led to a decrease in average vessel partial pressure of oxygen (PO2).
  • The standard deviation of vessel PO2 nearly doubled with increased oxygen demand, highlighting heterogeneity.
  • Average PO2 was insufficient to indicate oxygenation status in the complex vascular network.

Conclusions:

  • Mathematical modeling is crucial for understanding oxygen transport in the complex retinal vasculature.
  • Heterogeneity in oxygen distribution, not just average levels, is critical in glaucoma pathophysiology.
  • This model aids in elucidating factors contributing to vision loss in glaucoma.