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Related Experiment Video

Updated: Jun 8, 2025

$Subjective Refraction Test Using a Smartphone for Vision Screening$

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

Subjective Refraction Test Using a Smartphone for Vision Screening.

Gang Luo¹, Chen-Yuan Lee², Zheng Wang³

¹Schepens Eye Research Institute, Mass Eye & Ear; Department of Ophthalmology, Harvard Medical School; gang.luo@schepens.harvard.edu.

Journal of Visualized Experiments : Jove

|November 4, 2024

Summary

This summary is machine-generated.

A new smartphone app enables lay personnel to measure refractive errors and astigmatism without attachments. This vision screening tool shows accuracy comparable to clinical methods, improving access to eye care.

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Area of Science:

Ophthalmology
Medical Technology
Public Health

Background:

Access to vision care is limited, especially in underserved communities.
Mass vision screening is crucial for early detection of refractive errors.
Smartphone technology offers potential for accessible and affordable vision diagnostics.

Purpose of the Study:

To describe measurement protocols for a novel smartphone app enabling subjective refraction.
To evaluate the app's validity for measuring refractive errors and astigmatism.
To assess the app's accuracy in measuring interpupillary distance (IPD).

Main Methods:

A standalone smartphone app was developed to measure refractive errors using visual stimuli.
Protocols for subjective refraction, spherical equivalent, astigmatism, and IPD measurement were established.
App measurements were compared against standard clinical methods in 34 subjects.

Main Results:

The app demonstrated an average absolute error of 0.63D for spherical equivalent refraction.
Average absolute error for astigmatism measurement was 0.28D.
Average absolute error for interpupillary distance (IPD) measurement was 1.2 mm.

Conclusions:

The smartphone app provides a valid and accessible method for measuring refractive errors and astigmatism.
The app can be used by lay personnel for mass vision screening, improving access to eye care.
The developed protocols facilitate accurate vision assessment using smartphone technology.