Xu, Guozheng;
Smart, Thomas J;
Durech, Eduard;
Sarunic, Marinko;
(2024)
Image metric-based multi-observation single-step deep deterministic policy gradient for sensorless adaptive optics.
Biomedical Optics Express
, 15
(8)
pp. 4795-4814.
10.1364/BOE.528579.
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Abstract
Sensorless adaptive optics (SAO) has been widely used across diverse fields such as astronomy, microscopy, and ophthalmology. Recent advances have proved the feasibility of using the deep deterministic policy gradient (DDPG) for image metric-based SAO, achieving fast correction speeds compared to the coordinate search Zernike mode hill climbing (ZMHC) method. In this work, we present a multi-observation single-step DDPG (MOSS-DDPG) optimization framework for SAO on a confocal scanning laser ophthalmoscope (SLO) system with particular consideration for applications in preclinical retinal imaging. MOSS-DDPG optimizes N target Zernike coefficients in a single-step manner based on 2N + 1 observations of the image sharpness metric values. Through in silico simulations, MOSS-DDPG has demonstrated the capability to quickly achieve diffraction-limited resolution performance with long short-term memory (LSTM) network implementation. In situ tests suggest that knowledge learned through simulation adapts swiftly to imperfections in the real system by transfer learning, exhibiting comparable in situ performance to the ZMHC method with a greater than tenfold reduction in the required number of iterations.
| Type: | Article |
|---|---|
| Title: | Image metric-based multi-observation single-step deep deterministic policy gradient for sensorless adaptive optics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1364/BOE.528579 |
| Publisher version: | http://dx.doi.org/10.1364/boe.528579 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Physical Sciences, Biochemical Research Methods, Optics, Radiology, Nuclear Medicine & Medical Imaging, Biochemistry & Molecular Biology, ABERRATION CORRECTION, OPTIMIZATION, MICROSCOPY |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10197991 |
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