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

Visual System01:26

Visual System

564
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
564
Vision01:24

Vision

53.1K
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.
53.1K
The Retina01:32

The Retina

68.2K
The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
68.2K
Parallel Processing01:20

Parallel Processing

150
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
150
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

7.0K
The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Evaluating the Efficacy of Smart Saliency Detection System for Visual Prosthesis Users: An Experimental Comparison Across Various Visual Prosthesis Implants.

Artificial organs·2026
Same author

Advancing ADMET prediction for major CYP450 isoforms: graph-based models, limitations, and future directions.

Biomedical engineering online·2025
Same author

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis.

Scientific reports·2025
Same author

Robust detection and refinement of saliency identification.

Scientific reports·2024
Same author

Identification of Differentially Expressed Genes in Human Colorectal Cancer Using RNASeq Data Validated on the Molecular Level with Real-Time PCR.

Biochemical genetics·2023
Same author

Human cornea thermo-viscoelastic behavior modelling using standard linear solid model.

BMC ophthalmology·2023
Same journal

Large-Eddy Simulation of the FDA Benchmark Blood Pump: Validation Against Experiments and Implications for Turbulent Flow Mechanisms.

Artificial organs·2026
Same journal

The Warm Revolution: A Meta-Analysis of DCD Versus DBD Liver Transplant Outcomes in the Normothermic Machine Perfusion Era.

Artificial organs·2026
Same journal

Toward Optimal Remote Monitoring in LVAD Recipients: Remaining Challenges Beyond Feasibility.

Artificial organs·2026
Same journal

Advancing Organ Preservation and Perfusion: Introducing the International Society of Organ Preservation and Perfusion Therapy (ISOPPT).

Artificial organs·2026
Same journal

Short Inter-Treatment Interval Treatment With Artificial Liver Support System Reduces 90-Day Transplant-Free Mortality in Patients With Hepatitis B Virus-Related Acute-On-Chronic Liver Failure: A Retrospective Observational Study.

Artificial organs·2026
Same journal

Extracorporeal Albumin Dialysis (OPAL) as Novel Therapeutic Bridging Option in Posthepatectomy Liver Failure.

Artificial organs·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2025

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis
12:01

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis

Published on: August 2, 2013

19.9K

Pre-processing visual scenes for retinal prosthesis systems: A comprehensive review.

Heidi Ahmed Holiel1, Sahar Ali Fawzi1,2, Walid Al-Atabany1,3

  • 1Medical Imaging and Image Processing Research Group, Center for Informatics Science, Nile University, Sheikh Zayed City, Egypt.

Artificial Organs
|July 18, 2024
PubMed
Summary
This summary is machine-generated.

Retinal prostheses use image processing and machine learning to restore vision. Future work focuses on optimizing phosphene simulations for better visual perception and independence in users.

Keywords:
Bionic eyedeep learningimage processingoptogeneticsretinal prosthesissaliency‐based detectionsegmentationsimulated prosthetic vision (SPV)visual perception

More Related Videos

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks
10:00

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks

Published on: February 14, 2015

11.6K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K

Related Experiment Videos

Last Updated: Jun 20, 2025

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis
12:01

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis

Published on: August 2, 2013

19.9K
Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks
10:00

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks

Published on: February 14, 2015

11.6K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Neuroscience

Background:

  • Retinal prostheses offer vision restoration for degenerative retinal diseases by stimulating remaining retinal cells.
  • Advancements in image processing and machine learning are crucial for enhancing retinal prosthesis technology.

Purpose of the Study:

  • To review current retinal prosthesis technologies, focusing on image processing and machine learning.
  • To analyze implantable devices, optogenetic strategies, and their effectiveness in complex visual tasks.

Main Methods:

  • Comprehensive analysis of existing implantable devices and optogenetic strategies.
  • Review of image processing algorithms and deep learning architectures for prosthetic devices.
  • Illustration of testing results via clinical trials and Simulated Prosthetic Vision (SPV) with phosphene simulations.

Main Results:

  • Significant progress in retinal prosthesis technology augmenting visual perception for the visually impaired.
  • Integration of image processing and deep learning enhances environmental interaction and navigation.
  • Identified limitations in current techniques, including reliance on simulations and qualitative analysis.

Conclusions:

  • The interdisciplinary field shows promise for improving quality of life for retinal prosthesis users.
  • Future research should optimize phosphene simulations for SPV to enhance visual perception.
  • Optimized simulations can improve navigational independence and environmental interaction.