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 Experiment Videos

Sequentially optimized reconstruction strategy: A meta-strategy for perimetry testing.

Şerife Seda Kucur1, Raphael Sznitman1

  • 1ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.

Plos One
|October 14, 2017
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction.

PloS one·2026
Same author

Assessing intergrader variability in incomplete outer retinal atrophy (iRORA) grading.

The British journal of ophthalmology·2026
Same author

Current validation practice undermines surgical AI development.

ArXiv·2026
Same author

Rapid, label-free cancer detection in fresh pancreatic tissue using deep learning and multispectral Mueller matrix polarimetry.

IEEE transactions on bio-medical engineering·2026
Same author

AI-Assisted Optical Coherence Tomography Segmentation for Enhanced Diagnosis of Inherited Retinal Diseases.

Translational vision science & technology·2025
Same author

Artificial intelligence analysis of OCT biomarkers to predict visual outcomes following vitrectomy for epiretinal membrane.

International journal of retina and vitreous·2025
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

This study introduces a new perimetry testing strategy that reduces the number of locations tested by leveraging correlations between visual field points. This approach improves accuracy and speed for diagnosing eye and neurological conditions.

Area of Science:

  • Ophthalmology
  • Neuroscience
  • Medical Technology

Background:

  • Perimetry testing is crucial for diagnosing ophthalmic and neurological conditions.
  • Current methods are time-intensive and prone to noise, necessitating faster strategies.
  • Existing perimetry relies on sequential testing of light perception at various visual field locations.

Purpose of the Study:

  • To develop a novel meta-strategy for perimetry testing.
  • To reduce the number of locations examined by exploiting visual field correlations.
  • To improve the accuracy-speed trade-off in visual field testing.

Main Methods:

  • A novel meta-strategy was developed for perimetry testing.
  • The strategy identifies and prioritizes visually correlated locations.

Related Experiment Videos

  • It integrates with existing sensitivity estimation schemes.

    • Main Results:

    • The proposed approach significantly reduces the number of locations requiring examination.
    • It demonstrates marked performance gains compared to state-of-the-art strategies.
    • Achieved a superior accuracy-speed trade-off for diverse patient populations.

    Conclusions:

    • The novel meta-strategy offers a faster and more reliable method for perimetry testing.
    • Exploiting visual field correlations enhances diagnostic efficiency.
    • This approach provides a better accuracy-speed balance for clinical applications.