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Signal-to-noise ratio and aberration statistics in ocular aberrometry |
Optics Letters, Vol. 37, Issue 12, pp. 2427-2429 (2012)
http://dx.doi.org/10.1364/OL.37.002427
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Abstract
We define a signal-to-noise ratio (SNR) for eye aberrometry in terms of the sensor geometry, measurement noise, and population statistics. The overall estimation error is composed of three main contributions: the bias in the estimated modes, the truncation error, and the error due to the noise propagation. This last term can be easily parametrized by the proposed SNR. We compute the overall error as well as the magnitude of its three components for a typical sensor configuration, population statistics, and different SNR. We show that there are an optimum number of Zernike aberration modes to be retrieved in each case.
© 2012 Optical Society of America
OCIS Codes
(010.7350) Atmospheric and oceanic optics : Wave-front sensing
(030.6600) Coherence and statistical optics : Statistical optics
(220.1010) Optical design and fabrication : Aberrations (global)
(330.4460) Vision, color, and visual optics : Ophthalmic optics and devices
(330.5370) Vision, color, and visual optics : Physiological optics
ToC Category:
Vision, Color, and Visual Optics
History
Original Manuscript: March 2, 2012
Manuscript Accepted: April 9, 2012
Published: June 15, 2012
Virtual Issues
Vol. 7, Iss. 8 Virtual Journal for Biomedical Optics
Citation
Salvador Bará, Eliseo Pailos, and Justo Arines, "Signal-to-noise ratio and aberration statistics in ocular aberrometry," Opt. Lett. 37, 2427-2429 (2012)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ol-37-12-2427
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