Diffuser-based computational imaging funduscope
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Published version
Date
2020
DOI
Authors
Li, Yunzhe
McKay, Gregory N.
Durr, Nicholas J.
Tian, Lei
Version
Published version
OA Version
Citation
Yunzhe Li, Gregory N McKay, Nicholas J Durr, Lei Tian. 2020. "Diffuser-based computational imaging funduscope." Optics Express, Volume 28, pp. 19641 - 19641.
Abstract
Poor access to eye care is a major global challenge that could be ameliorated by
low-cost, portable, and easy-to-use diagnostic technologies. Diffuser-based imaging has the
potential to enable inexpensive, compact optical systems that can reconstruct a focused image
of an object over a range of defocus errors. Here, we present a diffuser-based computational
funduscope that reconstructs important clinical features of a model eye. Compared to existing
diffuser-imager architectures, our system features an infinite-conjugate design by relaying the
ocular lens onto the diffuser. This offers shift-invariance across a wide field-of-view (FOV) and
an invariant magnification across an extended depth range. Experimentally, we demonstrate
fundus image reconstruction over a 33° FOV and robustness to 4D refractive error using a
constant point-spread-function. Combined with diffuser-based wavefront sensing, this technology
could enable combined ocular aberrometry and funduscopic screening through a single diffuser
sensor.
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© 2020 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.