ArticleLight, science & applications2023
Universal linear intensity transformations using spatially incoherent diffractive processors.
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 20 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
20 citing papers in PubMed.
- Lying mirror using structured surfaces.Nature communications · 2026Article
- Parallel execution of nonlinear logic circuits using reconfigurable free-space diffractive optics.Nature communications · 2026Article
- Snapshot 3D image projection using a diffractive decoder.Light, science & applications · 2026Article
- Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors.Light, science & applications · 2025Article
- Universal point spread function engineering for 3D optical information processing.Light, science & applications · 2025Article
- Photonic diffractive generators through sampling noises from scattering media.Nature communications · 2024Article
- Information processing at the speed of light.Frontiers of optoelectronics · 2024Review
- Optical neural networks: progress and challenges.Light, science & applications · 2024Review
- Opto-intelligence spectrometer using diffractive neural networks.Nanophotonics (Berlin, Germany) · 2024Article
- Pyramid diffractive optical networks for unidirectional image magnification and demagnification.Light, science & applications · 2024Article
- Nonlinear encoding in diffractive information processing using linear optical materials.Light, science & applications · 2024Article
- Nanowatt all-optical 3D perception for mobile robotics.Science advances · 2024Article
- Information-hiding cameras: Optical concealment of object information into ordinary images.Science advances · 2024Article
- All-optical phase conjugation using diffractive wavefront processing.Nature communications · 2024Article
- All-optical complex field imaging using diffractive processors.Light, science & applications · 2024Article
- Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array.Nature communications · 2024Article
- Diffractive optical computing in free space.Nature communications · 2024Review
- All-optical image denoising using a diffractive visual processor.Light, science & applications · 2024Article
- Learning diffractive optical communication around arbitrary opaque occlusions.Nature communications · 2023Article
- High-throughput terahertz imaging: progress and challenges.Light, science & applications · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Under spatially coherent light, a diffractive optical network composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between its input and output fields-of-view (FOVs) if the total number (N) of optimizable phase-only diffractive features is ≥~2N
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.