Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

Three-Dimensional Microscopy in Microbiology

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

You might also read

Related Articles

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

Sort by

Same author

Objective hyperemia and intraocular pressure changes following omidenepag isopropyl application.

PloS one·2025

Same author

Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter.

Chaos (Woodbury, N.Y.)·2025

Same author

Quantitative analysis of ocular deviation under eye occlusion: a descriptive study using the ORTe EYENAC eye-tracking system.

BMC ophthalmology·2025

Same author

Comparative educational effectiveness of AI generated images and traditional lectures for diagnosing chalazion and sebaceous carcinoma.

Scientific reports·2024

Same author

A genome-wide association study identified PTPN2 as a population-specific susceptibility gene locus for primary biliary cholangitis.

Hepatology (Baltimore, Md.)·2024

Same author

Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images.

The British journal of ophthalmology·2024

Search research articles

Related Experiment Video

Updated: Jun 2, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Influence of three-dimensional image viewing on visual function.

Fumiatsu Maeda¹, Akio Tabuchi², Kazutaka Kani²

¹Department of Sensory Science, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288 Matsushima, Kurashiki, Okayama, 701-0193, Japan. fouroux@mw.kawasaki-m.ac.jp.

Japanese Journal of Ophthalmology

|May 4, 2011

Summary

Three-dimensional (3D) image viewing showed minimal impact on visual function in both adults and children. Further research is needed to fully understand the effects of 3D viewing on visual health.

More Related Videos

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

Related Experiment Videos

Last Updated: Jun 2, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

Area of Science:

Ophthalmology
Human-Computer Interaction
Visual Science

Background:

Three-dimensional (3D) imaging systems are increasingly prevalent.
Understanding the impact of prolonged 3D viewing on visual function is crucial.
New 3D scenography systems require evaluation for potential visual effects.

Purpose of the Study:

To investigate the influence of a new 3D scenography system on visual function.
To assess effects in both adult and pediatric populations.
To employ both objective and subjective methodologies for comprehensive evaluation.

Main Methods:

A study involving 21 healthy adults and 21 healthy children.
Objective assessment using accommodative microfluctuation analysis before and after 3D viewing.
Subjective symptom evaluation via questionnaire in adults.

Main Results:

No significant changes in accommodative microfluctuation were observed in either group post-3D viewing.
Adults reported no significant differences in subjective symptoms.
A trend towards increased accommodative microfluctuation was noted in a subset of subjects after viewing.

Conclusions:

3D image viewing, under the study's conditions, demonstrated minimal to no adverse effect on visual function.
Further investigation is warranted due to potential subtle effects and numerous unknowns.
Continued research is necessary to fully elucidate the long-term visual implications of 3D technology.