Evidence map›Paper›PMID 42090493›Full record

ArticleScience advances2026

Optical corner detection with azimuthal Hilbert transform metasurfaces.

Chen Chen, Junyi Wang, Rong Lin, Jiacheng Sun, Wange Song, Shining Zhu, Tao Li, Din Ping Tsai

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chen ChenNanjing University, National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative innovation center of advanced microstructures, College of Engineering and Applied Sciences, Nanjing 210093, China.ORCID 0000-0003-0599-0798
Junyi WangNanjing University, National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative innovation center of advanced microstructures, College of Engineering and Applied Sciences, Nanjing 210093, China.ORCID 0000-0002-7556-1588
Rong LinDepartment of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong, SAR 999077, China.ORCID 0000-0001-7239-1387
Jiacheng SunNanjing University, National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative innovation center of advanced microstructures, College of Engineering and Applied Sciences, Nanjing 210093, China.
Wange SongNanjing University, National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative innovation center of advanced microstructures, College of Engineering and Applied Sciences, Nanjing 210093, China.ORCID 0000-0001-8782-195X
Shining ZhuNanjing University, National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative innovation center of advanced microstructures, College of Engineering and Applied Sciences, Nanjing 210093, China.ORCID 0000-0002-3472-6497
Tao LiNanjing University, National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative innovation center of advanced microstructures, College of Engineering and Applied Sciences, Nanjing 210093, China.ORCID 0000-0003-0049-471X
Din Ping TsaiDepartment of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong, SAR 999077, China.ORCID 0000-0002-0883-9906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many animals efficiently interpret their environment by detecting geometric features like corners, highlighting the power of feature extraction for reducing visual complexity; similarly, with the surge in visual data, nature-inspired optical corner detection offers a promising yet still elusive solution for energy-efficient information processing and compression. Here, we propose a universal strategy for optical corner imaging with azimuthal Hilbert transformation metasurfaces. Multiple objects, regardless of their amplitude, phase, or angular characteristics, can be detected simultaneously with a single metasurface, featuring broadband and full-field-of-view properties. Trade-offs between spatial and angular resolution are assessed, offering practical guidance for implementation. We further demonstrate motion tracking as a proof-of-concept application leveraging the data-compressed corner imaging framework. This work paves the way for next-generation optical information processing technologies.

Identifiers

PMID42090493
PMCPMC13148299

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Registered trials

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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.