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

New objective classification system for nuclear opacification

D D Duncan1, O B Shukla, S K West

  • 1Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723-6099, USA. donald.duncan@jhuapl.edu

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|June 1, 1997
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

Four cases of acute comitant esotropia associated with diffuse intrinsic pontine glioma in children.

Strabismus·2022
Same author

Stability of Chlamydia trachomatis on storage of dry swabs for accurate detection by nucleic acid amplification tests.

Journal of clinical microbiology·2014
Same author

Evaluation of pooled ocular and vaginal swabs by the Cepheid GeneXpert CT/NG assay for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae compared to the GenProbe Aptima Combo 2 Assay.

Diagnostic microbiology and infectious disease·2014
Same author

Identification and typing of Francisella tularensis with a highly automated genotyping assay.

Letters in applied microbiology·2012
Same author

Identification and characterization of Francisella species from natural warm springs in Utah, USA.

Letters in applied microbiology·2012
Same author

Transform method of processing for speckle strain-rate measurements.

Applied optics·2010
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

We created an automated system to objectively classify nuclear opacification severity. This new method shows good performance and better reproducibility than subjective assessments.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Nuclear opacification, a key indicator of cataracts, is currently graded subjectively.
  • Subjective grading can lead to variability and inconsistencies in cataract assessment.

Purpose of the Study:

  • To develop an autonomous objective classification scheme for the degree of nuclear opacification.
  • To evaluate the performance and reproducibility of this automated system.

Main Methods:

  • Utilized color 35-mm slides from a Topcon photo slit-lamp microscope.
  • Digitized images and extracted first and second-order gray-level statistics from nuclear regions.
  • Employed a neural network for classification, trained and tested on distinct eye photographs.

Related Experiment Videos

Main Results:

  • Demonstrated good performance of the automated classifier compared to the subjective Wilmer grading system.
  • Achieved markedly better test/retest classification reproducibility using paired photographs of the same eyes.

Conclusions:

  • The developed autonomous objective classification scheme provides a reliable method for assessing nuclear opacification.
  • This automated approach offers improved consistency and reproducibility over traditional subjective grading methods.