An imaging-based autorefractor

Tools

Menolotto, Matteo and Livingstone, Iain A.T. and Giardini, Mario E.; (2021) An imaging-based autorefractor. In: 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, Piscataway, NJ., pp. 1-6. ISBN 9781728195407 (https://doi.org/10.1109/I2MTC50364.2021.9460024)

[thumbnail of Menolotto-etal-I2MTC-2021-An-imaging-based-autorefractor]
Preview
 Text. Filename: Menolotto_etal_I2MTC_2021_An_imaging_based_autorefractor.pdf
Accepted Author Manuscript
Download (636kB)| Preview

Abstract

Autorefraction consists of the automatic sensing of three parameters - spherical error, cylindrical error, slope of the principal meridian - that describe the deviation of the focusing properties of an ametropic eye with respect to an emmetropic state. Low-cost autorefractors would be highly desirable in resource-poor settings for the stratification of patients between those who can be treated in the community and those who need to be referred to specialist care. In the present paper, we describe the implementation of an autorefractor based on projecting patterns onto the retina of an eye and observing the projected pattern through an ophthalmoscopic camera configuration coaxial with the projection path. Tunable optics in the coaxial path, combined with appropriate image processing, allows determination of the three parameters. The simplicity and performance of the setup, measured on an eye simulator, shows promise towards clinical use in the community. Further work is needed to confirm the performance in vivo.

ORCID iDs

Menolotto, Matteo ORCID logoORCID: https://orcid.org/0000-0001-7688-3821, Livingstone, Iain A.T. and Giardini, Mario E. ORCID logoORCID: https://orcid.org/0000-0003-4849-9683;
CORE (COnnecting REpositories)