Evidence map›Paper›PMID 40325005›Full record

ArticleLight, science & applications2025

Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing.

Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang and 3 more

Abstract read
In one paragraph

Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

13 authors.

Guoce YangDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.ORCID http://orcid.org/0000-0002-6566-7776
Mengyun WangDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.ORCID http://orcid.org/0000-0002-1978-7195
June Sang LeeDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
Nikolaos FarmakidisDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
Joe ShieldsCentre for Metamaterial Research and Innovation, University of Exeter, Exeter, EX4 4QF, UK.
Carlota Ruiz de GalarretaCentre for Metamaterial Research and Innovation, University of Exeter, Exeter, EX4 4QF, UK.
Stuart KendallCentre for Metamaterial Research and Innovation, University of Exeter, Exeter, EX4 4QF, UK.
Jacopo BertolottiCentre for Metamaterial Research and Innovation, University of Exeter, Exeter, EX4 4QF, UK.ORCID http://orcid.org/0000-0002-7163-6343
Andriy MoskalenkoDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
Kairan HuangDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
Andrea AlùPhotonics Initiative, Advanced Science Research Center, City University of New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-4297-5274
C David WrightCentre for Metamaterial Research and Innovation, University of Exeter, Exeter, EX4 4QF, UK. david.wright@exeter.ac.uk.ORCID http://orcid.org/0000-0003-4087-7467
Harish BhaskaranDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK. harish.bhaskaran@materials.ox.ac.uk.ORCID http://orcid.org/0000-0003-0774-8110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors, especially for edge detection capability. Yet, there is still a lack of reconfigurable or programmable schemes, which may drastically enhance the impact of these devices at the system level. Here, we propose and experimentally demonstrate a reconfigurable flat optical image processor using low-loss phase-change nonlocal metasurfaces. The metasurface is configured to realize different transfer functions in spatial frequency space, when transitioning the phase-change material between its amorphous and crystalline phases. This enables edge detection and bright field imaging modes on the same device. The metasurface is compatible with a large numerical aperture of ~0.5, making it suitable for high resolution coherent optical imaging microscopy. The concept of phase-change reconfigurable nonlocal metasurfaces may enable emerging applications of artificial intelligence-assisted imaging and vision devices with switchable multitasking.

Identifiers

PMID40325005
PMCPMC12053629

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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.