ArticleOptics express2019
Automated sensorless single-shot closed-loop adaptive optics microscopy with feedback from computational adaptive optics.
Article in Optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Coefficient-metric gradient-based digital wavefront correction for full-field swept-source optical coherence tomography.Biomedical optics express · 2026Article
- Computational Adaptive Optics for HAR Hybrid Trench Array Topography Measurement by Utilizing Coherence Scanning Interferometry.Sensors (Basel, Switzerland) · 2025Article
- Image metric-based multi-observation single-step deep deterministic policy gradient for sensorless adaptive optics.Biomedical optics express · 2024Article
- Adaptive optics for optical microscopy [Invited].Biomedical optics express · 2023Review
- Tunable image-mapping optical coherence tomography.Biomedical optics express · 2023Article
- Computational adaptive holographic fluorescence microscopy based on the stochastic parallel gradient descent algorithm.Biomedical optics express · 2022Article
- Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics.Scientific reports · 2022Article
- Wavefront sensor-less adaptive optics using deep reinforcement learning.Biomedical optics express · 2021Article
- Closed-loop wavefront sensing and correction in the mouse brain with computed optical coherence microscopy.Biomedical optics express · 2021Article
- Adaptive optics for high-resolution imaging.Nature reviews. Methods primers · 2021Article
- Highly Sensitive Shack-Hartmann Wavefront Sensor: Application to Non-Transparent Tissue Mimic Imaging with Adaptive Light-Sheet Fluorescence Microscopy.Methods and protocols · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Traditional wavefront-sensor-based adaptive optics (AO) techniques face numerous challenges that cause poor performance in scattering samples. Sensorless closed-loop AO techniques overcome these challenges by optimizing an image metric at different states of a deformable mirror (DM). This requires acquisition of a series of images continuously for optimization - an arduous task in dynamic in vivo samples. We present a technique where the different states of the DM are instead simulated using computational adaptive optics (CAO). The optimal wavefront is estimated by performing CAO on an initial volume to minimize an image metric, and then the pattern is translated to the DM. In this paper, we have demonstrated this technique on a spectral-domain optical coherence microscope for three applications: real-time depth-wise aberration correction, single-shot volumetric aberration correction, and extension of depth-of-focus. Our technique overcomes the disadvantages of sensor-based AO, reduces the number of image acquisitions compared to traditional sensorless AO, and retains the advantages of both computational and hardware-based AO.
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Registered trials
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