2020
DOI: 10.1364/ol.390134
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Depth-resolved optimization of a real-time sensorless adaptive optics optical coherence tomography

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.… Show more

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Cited by 33 publications
(15 citation statements)
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“…for a 7-mm pupil diameter, the depth of focus is approximately ten times thinner than the retina [21], making focus position an essential step. If the merit function did not take into account the retinal layer of interest, the wavefront optimization would be biased to the photoreceptor layer [22], preventing high SNR FFOCT images of the inner retina. During each imaging session, SD-OCT B-scans are displayed in real-time, allowing the user to select the retinal layer of interest, where the coherence gate is then automatically positioned.…”
Section: Resultsmentioning
confidence: 99%
“…for a 7-mm pupil diameter, the depth of focus is approximately ten times thinner than the retina [21], making focus position an essential step. If the merit function did not take into account the retinal layer of interest, the wavefront optimization would be biased to the photoreceptor layer [22], preventing high SNR FFOCT images of the inner retina. During each imaging session, SD-OCT B-scans are displayed in real-time, allowing the user to select the retinal layer of interest, where the coherence gate is then automatically positioned.…”
Section: Resultsmentioning
confidence: 99%
“…In the sample arm, a reflective collimator (RC04APC-P01, Thorlabs Inc., USA) collimated the beam to a variable focus liquid lens (clear aperture = 3.9 mm, Corning, France) for autofocusing into different layers of the sample [8]. The 4 mm beam was then deflected by a pair of galvanometer scanners (Saturn 5B, Pangolin Laser Systems Inc., USA) to a 2× beam expander comprised of two pairs of visible achromatic doublet lenses, L1 and L2, that had effective focal lengths of 50 mm and 100 mm respectively (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…Sensorless AO (SAO) is another alternative to hardware-based AO-OCT that relies on the images’ properties rather than a wavefront sensor to ultimately measure and correct aberrations [ 56 ]. SAO optimization methods and algorithms include Zernike Mode Hill Climbing [ 57 ], stochastic parallel gradient descent [ 58 , 59 ], deep reinforcement learning [ 60 ], and others. SAO features have been tested to some extent in CAO models as well [ 58 , 61 ].…”
Section: Adaptive Optics (Ao) In Oct (Ao-oct)mentioning
confidence: 99%