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

Image acquisition and image processing for the intraocular vision aid.

I Krisch1, N Hijazi, B J Hosticka

  • 1Fraunhofer Institute for Microelectronic Circuits and Systems, 47057 Duisburg, Germany. krisch@ims.fhg.de

Biomedizinische Technik. Biomedical Engineering
|November 28, 2002
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

In-Office Skin Grafting for Lower Extremity Wounds.

Surgical technology international·2025
Same author

Polymer-coated PtCo nanoparticles deposited on diblock copolymer templates: chemical selectivity versus topographical effects.

Chemphyschem : a European journal of chemical physics and physical chemistry·2014
Same author

Intraocular epiretinal prosthesis to restore vision in blind humans.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2009
Same author

An unsupervised texture segmentation algorithm with feature space reduction and knowledge feedback.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Restoring visual perception using microsystem technologies: engineering and manufacturing perspectives.

Acta neurochirurgica. Supplement·2007
Same author

Wireless power and data transmission system for a micro implantable intraocular vision aid.

Biomedizinische Technik. Biomedical engineering·2002
Same journal

Data-scarce transfer learning fusion for positron emission tomography and computed tomography guided lung biopsy.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

DeepKneeXR: YOLOv8 multi-label X-rays detection of knee abnormalities from sports injury with clinical explainability.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Multimodal artificial intelligence for predicting postoperative cesarean scar diverticulum risk.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Spinal x-ray based scoliosis diagnosis using deep learning: a comparison of YOLOv11 and ResNet.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Transvaginal ultrasound-based radiomics and integrated clinical indicators via multimodal deep learning for prediction of endometrial polyp recurrence after hysteroscopic surgery.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Computed tomography imaging and observation of hemorrhage in traumatic splenic rupture pre and post partial splenectomy.

Biomedizinische Technik. Biomedical engineering·2026
See all related articles

This study introduces a miniaturized intraocular vision aid (IOVA) for corneal opacification patients. The system integrates image acquisition, processing, and power into a portable unit for improved patient acceptance.

Area of Science:

  • Biomedical Engineering
  • Ophthalmology
  • Computer Vision

Background:

  • Corneal opacification significantly impairs vision.
  • Existing vision aids often lack patient acceptance due to size and complexity.
  • Miniaturization is key for developing effective and user-friendly visual prosthetics.

Purpose of the Study:

  • To describe the development of a miniaturized intraocular vision aid (IOVA) system.
  • To integrate essential components (image acquisition, processing, power) into a portable unit.
  • To enhance patient acceptance of vision aid technology.

Main Methods:

  • Utilized a CMOS camera with over 100 dB dynamic range and 380x300 pixel resolution.
  • Implemented on-chip correlated double sampling to reduce fixed pattern noise.

Related Experiment Videos

  • Incorporated an analog-to-digital converter for flexible data processing integration.

    • Main Results:

    • The CMOS sensor offers low power consumption, random pixel access, and local brightness adaptation.
    • The system design facilitates integration of image acquisition, processing, and power supply.
    • The miniaturized IOVA system is designed for improved patient acceptance.

    Conclusions:

    • The developed IOVA system represents a significant advancement in assistive technology for corneal opacification.
    • Miniaturization and integrated processing are crucial for practical and accepted vision aids.
    • Further development can lead to enhanced visual restoration for affected patients.