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

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.

Authors

Institutions

Publication Details

Journal
Biomedical Optics Express
Published
2024-12-13
DOI
https://doi.org/10.1364/boe.543807
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Benedikt Hosp, Felix F. Reichel, Siegfried Wahl, Rajat Agarwala et al.
Biomedical Optics Express
Ophthalmology and Visual Impairment Studies
article

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

Benedikt Hosp, Felix F. Reichel, Siegfried Wahl, Rajat Agarwala, Björn Severitt
article en

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.

Biomedical Optics ExpressVol. 16(3)
Carl Zeiss (Germany) (DE), University Children's Hospital Tübingen (DE), Bernstein Center for Computational Neuroscience Tübingen (DE)
Deutsche Forschungsgemeinschaft, Eberhard Karls Universität Tübingen, Universitätsklinikum Tübingen
Affordable and clean energy
Openalex Percentile: Top 66%
Ophthalmology and Visual Impairment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance of focus-tunable presbyopia correction lenses operated using gaze-tracking and LIDAR — Benedikt Hosp, Felix F. Reichel, et al. · Biomedical Optics Express (2024) | TGRS Research Map | TGRS