Abstract

We formed a database gathering the wavefront aberrations of 50 healthy eyes measured with an original custom-built Shack-Hartmann aberrometer at a temporal frequency of 236 Hz, with 22 lenslets across a 7-mm diameter pupil, for a duration of 20 s. With this database, we draw statistics on the spatial and temporal behavior of the dynamic aberrations of the eye. Dynamic aberrations were studied on a 5-mm diameter pupil and on a 3.4 s sequence between blinks. We noted that, on average, temporal wavefront variance exhibits a n-2 power-law with radial order n and temporal spectra follow a f-1.5 power-law with temporal frequency f. From these statistics, we then extract guidelines for designing an adaptive optics system. For instance, we show the residual wavefront error evolution as a function of the number of corrected modes and of the adaptive optics loop frame rate. In particular, we infer that adaptive optics performance rapidly increases with the loop frequency up to 50 Hz, with gain being more limited at higher rates.

Highlights

  • Ultra-high resolution retinal imaging has proven to be a useful tool to diagnose retinal disorders at the earliest stages, to monitor the progression of retinal diseases as well as the effect of new curative drugs, and to improve our understanding of the eye [1]

  • We present the first characterization of ocular aberrations with both high temporal and spatial (22 lenslets across a 7-mm diameter pupil) resolution, on a large population consisting of 50 healthy eyes, in order to come up with a statistical description of dynamic ocular aberrations reflecting the inter-subject variability

  • All the statistics we derived from the data, as well as information on age, gender, Lasik case, right-left eye of each subject, can be found in Data File 1

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Summary

Introduction

Ultra-high resolution retinal imaging has proven to be a useful tool to diagnose retinal disorders at the earliest stages, to monitor the progression of retinal diseases as well as the effect of new curative drugs, and to improve our understanding of the eye [1]. The main terms typically considered are: the wavefront sensing error, in particular due to the noise on the wavefront sensor camera; the fitting error, due to the fact that a deformable mirror with a finite number of actuators cannot perfectly compensate the ocular aberrations; and the temporal error due to the time lag between sensing and correction Such an analysis was carried out on a few eyes by Evans et al, so as to identify the main sources of residual wavefront variance on their specific apparatus [8].

Methods
Population
Data acquisition and reduction procedure
Definitions and notations
Accuracy of our aberrometry data
Static aberrations of our population
Time series and dynamic SWFE
Relative importance of static and dynamic SWFE
Temporal spectra
Implications for AO system performance
Noise error
Rdir τNphinc
Temporal error
Numerical application
Conclusion
Findings
Definitions
Full Text
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