The aim of this work is to evaluate the performance of a novel algorithm that combines
dynamic wavefront aberrometry data and descriptors of the retinal image quality from …

Purpose: Despite the proliferation of wavefront sensing to characterize the optical quality of
individual eyes, there is not yet an accurate way to determine from a wave aberration how …

We explored the impact of the eye's higher-order aberrations on subjective refraction
comparing two classes of methods for estimating refractive state, one based directly on the …

Metrics of retinal image quality predict optimal refractive corrections and correlate with visual
performance. To date, they do not predict absolutely the relative change in visual …

Purpose. Despite the proliferation of wavefront sensors to characterize the optical quality of
individual eyes, there is not yet an accurate way to determine from a wave aberration how …

Purpose To compare refractive assessment results obtained with an aberrometer, an
autorefractor, and manual subjective refraction (SR) in a healthy population with optimal …

Purpose To assess the performance of machine learning (ML) ensemble models for
predicting patient subjective refraction (SR) using demographic factors, wavefront …

Purpose: To determine whether using the image quality (IQ) metric VSX (visual Strehl ratio)
to optimize objective refraction from wavefront error (WFE) measures can provide a …

Background: Wavefront error fundamentally defines the optical quality of the retinal image.
Numerous metrics of optical quality can be calculated from wavefront error. Purpose: To …

Purpose: The purpose of this study was to determine the accuracy and repeatability of
refractive errors obtained using three autorefractors based on different measurement …