Evidence map›Paper›PMID 36236784›Full record

ReviewSensors (Basel, Switzerland)2022

Opto-Mechanical Eye Models, a Review on Human Vision Applications and Perspectives for Use in Industry.

André Rino Amorim, Boris Bret, José M González-Méijome

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Application of Silicone in Ophthalmology: A Review.Materials (Basel, Switzerland) · 2024
    Review
  4. Article
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

3 authors.

André Rino AmorimClinical and Experimental Optometry Research Lab, Center of Physics, University of Minho, 4710-057 Braga, Portugal.
Boris BretBosch Car Multimedia Portugal, S.A., 4705-285 Braga, Portugal.ORCID 0000-0002-2292-0460
José M González-MéijomeClinical and Experimental Optometry Research Lab, Center of Physics, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0001-9050-4170

Funding

European Structural and Investment Funds Project nº 39479; Funding Reference: POCI-01-0247-FEDER-39479
6 · The paper itself

Abstract

The purpose of this review is to aggregate technical information on existent optomechanical eye models (OME) described in the literature, for image quality assessment in different applications. Several physical eye models have been reviewed from peer-reviewed papers and patent applications. A typical eye model includes an artificial cornea, an intraocular lens or other lens to simulate the crystalline lens, an aperture as the pupil, and a posterior retinal surface, which may be connected to a light sensor. The interior of the eye model may be filled with a fluid to better emulate physiological conditions. The main focus of this review is the materials and physical characteristics used and the dimensional aspects of the main components including lenses, apertures, chambers, imaging sensors and filling medium. Various devices are described with their applications and technical details, which are systematically tabulated highlighting their main characteristics and applications. The models presented are detailed and discussed individually, and the features of different models are compared when applicable, highlighting strengths and limitations. In the end there is a brief discussion about the potential use of artificial eye models for industrial applications.

Indexed as

Lenses, IntraocularCorneaHumansPupilhuman eyeimage qualityimagingin vitro eye measurementsoptomechanical artificial eye model

Identifiers

PMID36236784
PMCPMC9573708

What OpenQuestion holds

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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.