Evidence map›Paper›PMID 38625087›Full record

ArticleJournal of vision2024

Defining metrics of visual acuity from theoretical models of observers.

Charles-Edouard Leroux, Conor Leahy, Justine Dupuis, Christophe Fontvieille, Fabrice Bardin

Abstract read
In one paragraph

Article in Journal of vision, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A metric-based image-formation model explains the improvement in subjective refraction using temporal defocus waves.Optometry and vision science : official publication of the American Academy of Optometry · 2025
    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

5 authors.

Charles-Edouard LerouxLaboratoire MIPA, Université de Nîmes, Nîmes, France.
Conor LeahyCarl Zeiss Meditec, Inc., Dublin, California, USA.
Justine DupuisLaboratoire MIPA, Université de Nîmes, Nîmes, France.
Christophe FontvieilleLaboratoire MIPA, Université de Nîmes, Nîmes, France.
Fabrice BardinLaboratoire MIPA, Université de Nîmes, Nîmes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many experimental studies show that metrics of visual image quality can predict changes in visual acuity due to optical aberrations. Here we use statistical decision theory and Fourier optics formalism to demonstrate that two metrics known in the field of vision sciences are approximations of two different theoretical models of linear observers. The theory defines metrics of visual acuity to potentially predict changes in visual acuity due to optical aberrations, without needing a posteriori scale or offset. We illustrate our approach with experiments, using combinations of defocus and spherical aberration, and pure coma.

Indexed as

Visual AcuityHumans

Identifiers

PMID38625087
PMCPMC11044840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.