Depth-resolved optimization of a real-time sensorless adaptive optics optical coherence tomography

Acner Camino; Ringo Ng; Joey Huang; Yukun Guo; Shuibin Ni; Yali Jia; David Huang; Yifan Jian

doi:10.1364/OL.390134

Depth-resolved optimization of a real-time sensorless adaptive optics optical coherence tomography

Acner Camino, Ringo Ng, Joey Huang, Yukun Guo, Shuibin Ni, Yali Jia, David Huang, Yifan Jian

Ophthalmology

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Sensorless adaptive optics optical coherence tomography (AO-OCT) is a technology to image retinal tissue with high resolution by compensating ocular aberrations without wavefront sensors. In this Letter, a fast and robust hill-climbing algorithm is developed to optimize five Zernike modes in AO-OCT with a numerical aperture between that of conventional AO and commercial OCT systems. The merit function is generated in real time using graphics processing unit while axially tracking the retinal layer of interest. A new method is proposed to estimate the largest achievable field of view for which aberrations are corrected uniformly in sensorless AO-OCT.

Original language	English (US)
Pages (from-to)	2612-2615
Number of pages	4
Journal	Optics Letters
Volume	45
Issue number	9
DOIs	https://doi.org/10.1364/OL.390134
State	Published - May 1 2020

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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10.1364/OL.390134

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abstract = "Sensorless adaptive optics optical coherence tomography (AO-OCT) is a technology to image retinal tissue with high resolution by compensating ocular aberrations without wavefront sensors. In this Letter, a fast and robust hill-climbing algorithm is developed to optimize five Zernike modes in AO-OCT with a numerical aperture between that of conventional AO and commercial OCT systems. The merit function is generated in real time using graphics processing unit while axially tracking the retinal layer of interest. A new method is proposed to estimate the largest achievable field of view for which aberrations are corrected uniformly in sensorless AO-OCT.",

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AU - Guo, Yukun

AU - Ni, Shuibin

AU - Jia, Yali

AU - Huang, David

AU - Jian, Yifan

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AB - Sensorless adaptive optics optical coherence tomography (AO-OCT) is a technology to image retinal tissue with high resolution by compensating ocular aberrations without wavefront sensors. In this Letter, a fast and robust hill-climbing algorithm is developed to optimize five Zernike modes in AO-OCT with a numerical aperture between that of conventional AO and commercial OCT systems. The merit function is generated in real time using graphics processing unit while axially tracking the retinal layer of interest. A new method is proposed to estimate the largest achievable field of view for which aberrations are corrected uniformly in sensorless AO-OCT.

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Depth-resolved optimization of a real-time sensorless adaptive optics optical coherence tomography

Abstract

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