Evidence map›Paper›PMID 40109521›Full record

ArticleBiomedical optics express2025

Performance of focus-tunable presbyopia correction lenses operated using gaze-tracking and LIDAR.

Rajat Agarwala, Björn R Severitt, Felix F Reichel, Benedikt W Hosp, Siegfried Wahl

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. Presbyopia: Current Perspectives and Prospects for Patients.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Review
  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

5 authors.

Rajat AgarwalaZEISS Vision Science Lab, Institute for Ophthalmic Research, University of Tübingen, Maria-von-Lindenstr. 6, Tübingen, Germany.ORCID https://orcid.org/0000-0002-8036-1759
Björn R SeverittZEISS Vision Science Lab, Institute for Ophthalmic Research, University of Tübingen, Maria-von-Lindenstr. 6, Tübingen, Germany.
Felix F ReichelUniversity Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany.
Benedikt W HospZEISS Vision Science Lab, Institute for Ophthalmic Research, University of Tübingen, Maria-von-Lindenstr. 6, Tübingen, Germany.ORCID https://orcid.org/0000-0001-8259-5463
Siegfried WahlZEISS Vision Science Lab, Institute for Ophthalmic Research, University of Tübingen, Maria-von-Lindenstr. 6, Tübingen, Germany.ORCID https://orcid.org/0000-0003-3437-6711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presbyopia is an age-related loss of accommodation ability of the eye which affects an individual's capacity to focus on closer objects. With the advent of tunable lens technologies, various algorithms have been developed to tune such lenses for presbyopia correction in older populations. In this study, we assessed a gaze and LIDAR-based feedback mechanism with electronically tunable lenses for their use as correction lenses for presbyopia. The tunable lens prototype was evaluated in 15 healthy young participants with their corrected sphero-cylindrical refraction by comparing their performance for a dynamic matching task under two conditions: (1) natural accommodation, and (2) emulating presbyopia using cycloplegic drops to paralyse accommodation while focussing using the developed visual demonstrator prototype. The participants performed the matching task on three screens placed at multiple distances. We have demonstrated that gaze can be used in conjunction with LIDAR to tune the lenses in the wearable visual demonstrator prototype, enabling participants to achieve a fast and accurate response for the matching task.

Identifiers

PMID40109521
PMCPMC11919338

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Registered trials

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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.