Evidence map›Paper›PMID 40677828›Full record

ArticleBiomedical optics express2025

Deep learning ocular aberration retrieval from simulated retinal images under straylight.

Konstantinos Ntatsis, Dimitrios Christaras, Pablo Artal, Harilaos Ginis

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Konstantinos NtatsisDiestia Systems PC, Platonos 77-79, 104 41 Athens, Greece.
Dimitrios ChristarasDiestia Systems PC, Platonos 77-79, 104 41 Athens, Greece.
Pablo ArtalLaboratorio de Óptica, Universidad de Murcia, Campus de Espinardo, E-30100 Murcia, Spain.ORCID https://orcid.org/0000-0003-1284-6591
Harilaos GinisDiestia Systems PC, Platonos 77-79, 104 41 Athens, Greece.ORCID https://orcid.org/0000-0002-8888-5792

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Point Spread Function (PSF) of the human eye is determined by both optical aberrations and straylight. However, accurately retrieving underlying wavefront aberrations from PSF images becomes challenging when straylight is present due to their combined effects in the resulting image. Traditional wavefront sensing techniques struggle to separate these contributions, limiting clinical assessment of optical quality. We propose a deep learning-based method to retrieve the underlying wavefront-aberration from simulated PSFs with straylight. The effect of scatter is implemented as an additional random phase perturbations wavefront. The model can predict the wavefront with high accuracy, achieving one-shot inference in 3 ms. This approach could enable a more comprehensive assessment of ocular optical quality by separating aberration and scatter components from standard PSF measurements.

Identifiers

PMID40677828
PMCPMC12265425

What OpenQuestion holds

Textmetadata
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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.