ArticleScience advances2023
NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Graph-based modeling of optical system enables adaptive optics on dynamic samples with self-calibration.iScience · 2026Article
- Intensity-correlation synthetic wavelength imaging in dynamic scattering media.Nature communications · 2026Article
- Chromatix: a differentiable, GPU-accelerated wave-optics library.Nature methods · 2026Article
- Video-rate gigapixel ptychography via space-time neural field representations.Nature communications · 2026Article
- Adaptive optical correction for in vivo two-photon fluorescence microscopy with neural fields.Nature methods · 2026Article
- Chromatix: a differentiable, GPU-accelerated wave-optics library.bioRxiv : the preprint server for biology · 2026Article
- Single-shot, reference-less computational wavefront sensing for complex optical fields.Light, science & applications · 2026Article
- Rapid wavefront shaping using an optical gradient acquisition.Nature communications · 2026Article
- Quantum-inspired computational wavefront shaping enables turbulence-resilient distributed aperture synthesis imaging.Science advances · 2025Article
- Multiscale aperture synthesis imager.Nature communications · 2025Article
- Descattering and image restoration with a transformer-based neural network in deep tissue imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Matrix-based imaging through dynamic scattering.Nature communications · 2025Article
- Optical focusing into scattering media via iterative time reversal guided by absorption nonlinearity.Nature communications · 2025Article
- Noninvasive megapixel fluorescence microscopy through scattering layers by a virtual incoherent reflection matrix.Science advances · 2024Article
- Non-invasive and noise-robust light focusing using confocal wavefront shaping.Nature communications · 2024Article
- Live-cell imaging powered by computation.Nature reviews. Molecular cell biology · 2024Review
- Article
- Wavefront shaping improves the transparency of the scattering media: a review.Journal of biomedical optics · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffraction-limited optical imaging through scattering media has the potential to transform many applications such as airborne and space-based imaging (through the atmosphere), bioimaging (through skin and human tissue), and fiber-based imaging (through fiber bundles). Existing wavefront shaping methods can image through scattering media and other obscurants by optically correcting wavefront aberrations using high-resolution spatial light modulators-but these methods generally require (i) guidestars, (ii) controlled illumination, (iii) point scanning, and/or (iv) statics scenes and aberrations. We propose neural wavefront shaping (NeuWS), a scanning-free wavefront shaping technique that integrates maximum likelihood estimation, measurement modulation, and neural signal representations to reconstruct diffraction-limited images through strong static and dynamic scattering media without guidestars, sparse targets, controlled illumination, nor specialized image sensors. We experimentally demonstrate guidestar-free, wide field-of-view, high-resolution, diffraction-limited imaging of extended, nonsparse, and static/dynamic scenes captured through static/dynamic aberrations.
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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.