ArticleNature communications2022
Direct retrieval of Zernike-based pupil functions using integrated diffractive deep neural networks.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Spatiotemporal all-optical diffractive neural networks empowered by spatiotemporal light field manipulation.Light, science & applications · 2026Article
- An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction.Nature communications · 2026Article
- Large dynamic range Shack-Hartmann wavefront sensing based on a graph-theoretic computational model.Light, science & applications · 2026Article
- Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing.Nanophotonics (Berlin, Germany) · 2026Review
- Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors.Light, science & applications · 2025Article
- Ultracompact 3D integrated photonic chip for high-fidelity high-dimensional quantum gates.Science advances · 2025Article
- Ultra-compact multi-task processor based on in-memory optical computing.Light, science & applications · 2025Article
- Wavefront-aberration-tolerant diffractive deep neural networks using volume holographic optical elements.Scientific reports · 2025Article
- Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light.Nature communications · 2025Article
- Harnessing the capabilities of VCSELs: unlocking the potential for advanced integrated photonic devices and systems.Light, science & applications · 2024Review
- Femtosecond laser direct nanolithography of perovskite hydration for temporally programmable holograms.Nature communications · 2024Article
- Pyramid diffractive optical networks for unidirectional image magnification and demagnification.Light, science & applications · 2024Article
- Polarization and wavelength routers based on diffractive neural network.Frontiers of optoelectronics · 2024Article
- Super-resolution diffractive neural network for all-optical direction of arrival estimation beyond diffraction limits.Light, science & applications · 2024Article
- Nanowatt all-optical 3D perception for mobile robotics.Science advances · 2024Article
- Memory-less scattering imaging with ultrafast convolutional optical neural networks.Science advances · 2024Article
- All-optical complex field imaging using diffractive processors.Light, science & applications · 2024Article
- All-optical image denoising using a diffractive visual processor.Light, science & applications · 2024Article
- Using Diffraction Deep Neural Networks for Indirect Phase Recovery Based on Zernike Polynomials.Sensors (Basel, Switzerland) · 2024Article
- On the use of deep learning for phase recovery.Light, science & applications · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retrieving the pupil phase of a beam path is a central problem for optical systems across scales, from telescopes, where the phase information allows for aberration correction, to the imaging of near-transparent biological samples in phase contrast microscopy. Current phase retrieval schemes rely on complex digital algorithms that process data acquired from precise wavefront sensors, reconstructing the optical phase information at great expense of computational resources. Here, we present a compact optical-electronic module based on multi-layered diffractive neural networks printed on imaging sensors, capable of directly retrieving Zernike-based pupil phase distributions from an incident point spread function. We demonstrate this concept numerically and experimentally, showing the direct pupil phase retrieval of superpositions of the first 14 Zernike polynomials. The integrability of the diffractive elements with CMOS sensors shows the potential for the direct extraction of the pupil phase information from a detector module without additional digital post-processing.
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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.