Evidence map›Paper›PMID 25448710›Full record

ArticleVision research2015

Active confocal imaging for visual prostheses.

Jae-Hyun Jung, Doron Aloni, Yitzhak Yitzhaky, Eli Peli

Abstract read
In one paragraph

Article in Vision research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Electronic Retinal Prostheses.Cold Spring Harbor perspectives in medicine · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Preparing participants for the use of the tongue visual sensory substitution device.Disability and rehabilitation. Assistive technology · 2022
    Article
  8. Review
  9. Article
  10. Testing Vision Is Not Testing For Vision.Translational vision science & technology · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Optimization of Visual Information Presentation for Visual Prosthesis.International journal of biomedical imaging · 2018
    Article
  17. Article
  18. Electronic approaches to restoration of sight.Reports on progress in physics. Physical Society (Great Britain) · 2016
    Review
  19. Comparing object recognition from binary and bipolar edge features.IS&T International Symposium on Electronic Imaging · 2016
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jae-Hyun JungSchepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Doron AloniDepartment of Electro-Optics Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Yitzhak YitzhakyDepartment of Electro-Optics Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Eli PeliSchepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA. Electronic address: eli_peli@meei.harvard.edu.

Funding

MODEL-BASED IMAGE ENHANCEMENT FOR THE VISUALLY IMPAIREDR01EY005957 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI PELI, ELI · 1986 to 2013
$5.6M
NEI NIH HHS R01 EY005957NEI NIH HHS R01EY05957
6 · The paper itself

Abstract

There are encouraging advances in prosthetic vision for the blind, including retinal and cortical implants, and other "sensory substitution devices" that use tactile or electrical stimulation. However, they all have low resolution, limited visual field, and can display only few gray levels (limited dynamic range), severely restricting their utility. To overcome these limitations, image processing or the imaging system could emphasize objects of interest and suppress the background clutter. We propose an active confocal imaging system based on light-field technology that will enable a blind user of any visual prosthesis to efficiently scan, focus on, and "see" only an object of interest while suppressing interference from background clutter. The system captures three-dimensional scene information using a light-field sensor and displays only an in-focused plane with objects in it. After capturing a confocal image, a de-cluttering process removes the clutter based on blur difference. In preliminary experiments we verified the positive impact of confocal-based background clutter removal on recognition of objects in low resolution and limited dynamic range simulated phosphene images. Using a custom-made multiple-camera system based on light-field imaging, we confirmed that the concept of a confocal de-cluttered image can be realized effectively.

Indexed as

Visual ProsthesisAdultBlindnessFemaleForm PerceptionHumansLogistic ModelsMalePsychometricsRecognition, PsychologyYoung AdultClutterConfocal imagingLight-fieldRetinal implantSensory substitution deviceVisual prosthesis

Identifiers

PMID25448710
PMCPMC4417666

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.