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

Cataract Image Analysis System.

E Cotlier1

  • 1New York State Institute for Basic Research in Developmental Disabilities, New York, USA.

Eye (London, England)
|January 11, 2000
PubMed
Summary
This summary is machine-generated.

This study introduces a new digital system for analyzing cataract images captured with a Red-Green-Blue (RGB) camera. The system precisely quantifies various cataract types and features, aiding in documentation and treatment evaluation.

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

Aspirin and cataract risk.

Ophthalmology·1999
Same author

Phacoemulsification by residents.

Ophthalmology·1992
Same author

Camel lens crystallins glycosylation and high molecular weight aggregate formation in the presence of ferrous ions and glucose.

Biochemical and biophysical research communications·1990
Same author

Retinoblastoma: the Saudi Arabian experience.

Ophthalmic paediatrics and genetics·1988
Same author

Aspirin prevents the nonenzymatic glycosylation and carbamylation of the human eye lens crystallins in vitro.

Biochemical and biophysical research communications·1988
Same author

Corticosteroid-induced cataracts.

Survey of ophthalmology·1986
Same journal

Tubing the trabeculectomy: a novel filtration technique.

Eye (London, England)·2026
Same journal

Retinal non-perfusion progression in severe non-proliferative and proliferative diabetic retinopathy over time: INSPIRED study report 2.

Eye (London, England)·2026
Same journal

Macular serpiginous choroiditis versus macular serpiginous-like choroiditis: clinical features, outcomes and prognosis.

Eye (London, England)·2026
Same journal

Association of baseline brain care score with the incidence of age-related eye diseases.

Eye (London, England)·2026
Same journal

A comparative analysis of carbon dioxide versus nitrous oxide as the pressurised gas driving a retinal cryotherapy unit.

Eye (London, England)·2026
Same journal

Determinants of regression kinetics in observed stage 3 retinopathy of prematurity without plus disease.

Eye (London, England)·2026
See all related articles

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Cataract progression and evaluation traditionally rely on subjective assessments.
  • Objective and quantifiable methods are needed for accurate cataract documentation and therapeutic assessment.

Purpose of the Study:

  • To describe a novel digital system for sequential color video capture and analysis of lens opacities.
  • To introduce a precise, digitized procedure for cataract documentation and progression monitoring.

Main Methods:

  • Utilizing a sensitive Red-Green-Blue (RGB) camera connected to an IBM-compatible computer for high-resolution cataract imaging.
  • Digitizing various lens opacities including vacuoles, retro-dots, suture opacities, wedge opacities, cortical and posterior subcapsular opacities, and nuclear sclerosis.

Related Experiment Videos

  • Employing analysis systems to determine the size and number of opacities and nuclear sclerosis, with color gradients up to 16.8 million.
  • Main Results:

    • The system successfully digitizes and analyzes diverse cataract types and features.
    • Quantification of opacity size and number is achievable through area selection and line tracings.
    • High-resolution images and detailed color analysis of cataractous lenses are obtained.

    Conclusions:

    • The Cataract Image Analysis System offers a precise and novel digitized method for cataract documentation.
    • This system holds potential value in monitoring cataract progression and evaluating the efficacy of medical therapies.