ArticleLight, science & applications2023
Universal adaptive optics for microscopy through embedded neural network control.
Article in Light, science & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 46 citations in OpenAlex.
- Depth-adapted adaptive optics for three-photon microscopy.Biomedical optics express · 2026Article
- Graph-based modeling of optical system enables adaptive optics on dynamic samples with self-calibration.iScience · 2026Article
- Artificial Intelligence for Discovery in Life Sciences.Bioconjugate chemistry · 2026Review
- Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue.Nature communications · 2026Article
- An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction.Nature communications · 2026Article
- Implementation of an adaptive-optics assisted isoSTED nanoscope.Nature protocols · 2026Review
- Adaptive optical correction for in vivo two-photon fluorescence microscopy with neural fields.Nature methods · 2026Article
- High-fidelity intravital imaging of biological dynamics with latent-space-enhanced digital adaptive optics.Nature biotechnology · 2026Article
- Single-shot, reference-less computational wavefront sensing for complex optical fields.Light, science & applications · 2026Article
- Single-Objective Lattice Light Sheet Microscopy with Microfluidics for Single-Molecule Super-Resolution Imaging of Mammalian Cells.ACS photonics · 2026Article
- Self-Driving Microscopes: AI Meets Super-Resolution Microscopy.Small methods · 2026Review
- Machine learning assisted wavefront sensor.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Nanoscale Imaging of Biological Tissues: Techniques, Challenges and Emerging Frontiers.Nanomaterials (Basel, Switzerland) · 2025Review
- Fourier-based three-dimensional multistage transformer for aberration correction in multicellular specimens.Nature methods · 2025Article
- Tissue type and tissue depth dependency of pulse broadening in three-photon microscopy: impact on third harmonic generation.Biomedical optics express · 2025Article
- Three-photon microscopy: an emerging technique for deep intravital brain imaging.Nature reviews. Neuroscience · 2025Review
- Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens.ArXiv · 2025Article
- Wavefront estimation through structured detection in laser scanning microscopy.Biomedical optics express · 2025Article
- Intensity adaptive optics.Light, science & applications · 2025Article
- Wavefront correction with image-based interferometric focus sensing in two-photon microscopy.Nanophotonics (Berlin, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
The resolution and contrast of microscope imaging is often affected by aberrations introduced by imperfect optical systems and inhomogeneous refractive structures in specimens. Adaptive optics (AO) compensates these aberrations and restores diffraction limited performance. A wide range of AO solutions have been introduced, often tailored to a specific microscope type or application. Until now, a universal AO solution - one that can be readily transferred between microscope modalities - has not been deployed. We propose versatile and fast aberration correction using a physics-based machine learning assisted wavefront-sensorless AO control (MLAO) method. Unlike previous ML methods, we used a specially constructed neural network (NN) architecture, designed using physical understanding of the general microscope image formation, that was embedded in the control loop of different microscope systems. The approach means that not only is the resulting NN orders of magnitude simpler than previous NN methods, but the concept is translatable across microscope modalities. We demonstrated the method on a two-photon, a three-photon and a widefield three-dimensional (3D) structured illumination microscope. Results showed that the method outperformed commonly-used modal-based sensorless AO methods. We also showed that our ML-based method was robust in a range of challenging imaging conditions, such as 3D sample structures, specimen motion, low signal to noise ratio and activity-induced fluorescence fluctuations. Moreover, as the bespoke architecture encapsulated physical understanding of the imaging process, the internal NN configuration was no-longer a "black box", but provided physical insights on internal workings, which could influence future designs.
Identifiers
What OpenQuestion holds
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.