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

You might also read

Related Articles

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

Sort by
Same author

Red blood cell alloantibodies dictating solid organ transplant decisions: Two case reports.

Asian journal of transfusion science·2026
Same author

Conjunctival Ultraviolet Autofluorescence: A Systematic Review of Factors Affecting Observed Ocular Damage.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026
Same author

Building optometry integrated eye care pathways for Queensland: the case for action.

Clinical & experimental optometry·2026
Same author

Early Ultraviolet-Induced Corneal Immune Changes Identified Using In Vivo Confocal Microscopy in Otherwise Healthy Eyes.

Cornea·2026
Same author

Peripheral refractive errors in pseudophakic eyes: <i>in vitro</i> evaluation and optical simulation.

Biomedical optics express·2026
Same author

Crystalline Lens Shape During Accommodation in Children.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026
Same journal

Generalizable framework for multi-site bone density prediction using non-dominant wrist optical biomarkers.

Biomedical optics express·2026
Same journal

Erratum: Review of dynamic optical coherence tomography for intracellular motility [Invited]: errata.

Biomedical optics express·2026
Same journal

Digital-micromirror-device-based illumination strategies for background suppression in single-molecule localization microscopy.

Biomedical optics express·2026
Same journal

Synergistic combination of convective self-assembly and hollow core fiber for sensitive SERS detection of glucose molecules.

Biomedical optics express·2026
Same journal

Multimodal diagnostic network integrating infrared and mass spectra for lung cancer.

Biomedical optics express·2026
Same journal

Multimodal Optical Biosensing for Precision Medicine and Healthcare: Introduction to the feature issue.

Biomedical optics express·2026
See all related articles

Related Experiment Video

Updated: Apr 1, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

22.5K

Validation of a partial coherence interferometry method for estimating retinal shape.

Pavan K Verkicharla1, Marwan Suheimat1, James M Pope2

  • 1School of Optometry & Vision Science, Queensland University of Technology, Brisbane, 4059 Australia ; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, 4059 Australia.

Biomedical Optics Express
|September 30, 2015
PubMed
Summary
This summary is machine-generated.

This study validates a partial coherence interferometry (PCI) method for measuring retinal shape. The PCI method showed good agreement with MRI, with Stage 2 recommended for its simplicity and accuracy.

Keywords:
(330.4460) Ophthalmic optics and devices(330.7326) Visual optics, modeling

More Related Videos

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
07:44

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

3.6K
Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment
07:02

Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment

Published on: June 30, 2023

2.3K

Related Experiment Videos

Last Updated: Apr 1, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

22.5K
In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
07:44

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

3.6K
Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment
07:02

Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment

Published on: June 30, 2023

2.3K

Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Optical Metrology

Background:

  • Accurate measurement of retinal shape is crucial for understanding ocular health and disease.
  • Existing methods for retinal shape analysis have limitations in precision or accessibility.

Purpose of the Study:

  • To validate a novel partial coherence interferometry (PCI) based method for determining retinal shape.
  • To compare the accuracy of different modeling stages of the PCI method against magnetic resonance imaging (MRI).

Main Methods:

  • Retinal shape was measured in 60 young adults using off-axis partial coherence interferometry (PCI).
  • Three modeling stages were employed: basic Le Grand model eye, model with surface ray deviation, and model with individual ocular biometry and ray deviation.
  • Results were compared with magnetic resonance imaging (MRI) data, considering MRI's inherent uncertainty.

Main Results:

  • All three PCI modeling stages showed good agreement with MRI measurements of retinal shape.
  • Differences in retinal shape along horizontal and vertical meridians were less than 4% and 7%, respectively.
  • Stage 2 and Stage 3 provided slightly different retinal coordinates compared to Stage 1.

Conclusions:

  • The partial coherence interferometry (PCI) method is a simple and valid approach for determining retinal shape.
  • The intermediate Stage 2 modeling, incorporating surface ray deviation, is recommended for practical application.
  • PCI offers a promising, accurate alternative for retinal shape analysis in clinical and research settings.