ArticleBiomedical optics express2021
Wavefront sensor-less adaptive optics using deep reinforcement learning.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Coefficient-metric gradient-based digital wavefront correction for full-field swept-source optical coherence tomography.Biomedical optics express · 2026Article
- A Comprehensive Review of Optical Metrology and Perception Technologies.Sensors (Basel, Switzerland) · 2025Review
- Deep reinforcement learning for automatic defocus correction using OCT image intensity.Biomedical optics express · 2025Article
- Wavefront estimation through structured detection in laser scanning microscopy.Biomedical optics express · 2025Article
- Image metric-based multi-observation single-step deep deterministic policy gradient for sensorless adaptive optics.Biomedical optics express · 2024Article
- Piston Error Automatic Correction for Segmented Mirrors via Deep Reinforcement Learning.Sensors (Basel, Switzerland) · 2024Article
- Universal adaptive optics for microscopy through embedded neural network control.Light, science & applications · 2023Article
- Adaptive optics for optical microscopy [Invited].Biomedical optics express · 2023Review
- Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications.Frontiers in ophthalmology · 2023Article
- Using beam-offset optical coherence tomography to reconstruct backscattered photon profiles in scattering media.Biomedical optics express · 2022Article
- Advances in Optical Coherence Tomography Imaging Technology and Techniques for Choroidal and Retinal Disorders.Journal of clinical medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image degradation due to wavefront aberrations can be corrected with adaptive optics (AO). In a typical AO configuration, the aberrations are measured directly using a Shack-Hartmann wavefront sensor and corrected with a deformable mirror in order to attain diffraction limited performance for the main imaging system. Wavefront sensor-less adaptive optics (SAO) uses the image information directly to determine the aberrations and provide guidance for shaping the deformable mirror, often iteratively. In this report, we present a Deep Reinforcement Learning (DRL) approach for SAO correction using a custom-built fluorescence confocal scanning laser microscope. The experimental results demonstrate the improved performance of the DRL approach relative to a Zernike Mode Hill Climbing algorithm for SAO.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.