ArticleBiomedical optics express2024
Image metric-based multi-observation single-step deep deterministic policy gradient for sensorless adaptive optics.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Coefficient-metric gradient-based digital wavefront correction for full-field swept-source optical coherence tomography.Biomedical optics express · 2026Article
- Deep reinforcement learning for automatic defocus correction using OCT image intensity.Biomedical optics express · 2025Article
- Dual-modality SEM-Raman smart scanning for fast hyperspectral Raman micro-imaging - application to bones.Biomedical optics express · 2025Article
- Image metric-based multi-observation single-step deep deterministic policy gradient for sensorless adaptive optics.Biomedical optics express · 2024Article
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Authors and funding
4 authors.
Funding
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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
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Registered trials
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