Evidence map›Paper›PMID 41271682›Full record

ArticleNature communications2025

A golay metalens for long-range, large aperture, thermal imaging via sparse aperture computational imaging.

Jing Wang, Anna Wirth-Singh, Vishwanath Saragadam, Rose Johnson, Arka Majumdar, Ashok Veeraraghavan

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

6 authors.

Jing WangDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0002-2753-4243
Anna Wirth-SinghDepartment of Physics, University of Washington, Seattle, WA, USA.
Vishwanath SaragadamDepartment of Electrical and Computer Engineering, University of California, Riverside, CA, USA.ORCID http://orcid.org/0000-0001-8028-7520
Rose JohnsonDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.
Arka MajumdarDepartment of Physics, University of Washington, Seattle, WA, USA. arka@uw.edu.ORCID http://orcid.org/0000-0003-0917-590X
Ashok VeeraraghavanDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA. vashok@rice.edu.ORCID http://orcid.org/0000-0001-5043-7460

Funding

National Science Foundation (NSF) IIS-2107313
6 · The paper itself

Abstract

Long-range imaging in the Mid-wave infrared (MWIR) is crucial for defense, industrial and environmental applications, requiring very large aperture (~100-1000 mm) lenses for high-resolution imaging. Glass-based refractive optics make such systems bulky and expensive. Metalenses are lightweight alternatives but face fabrication limits at large apertures. We proposed a computational imaging strategy, the Golay metalens, combining (a) a small aperture array in designed spatial configuration and (b) a reconstruction algorithm that recover high-resolution, high-contrast images as though obtained by a single large aperture lens. The design is inherently scalable to larger apertures. A prototype in 89 mm diameter, 356 mm focal length was demonstrated, achieving near diffraction-limited performance enhanced by an image reconstruction algorithm with neural network-based denoising. A large recursive Golay metalens was further designed, demonstrating improved spatial resolution in simulations. Our development represents a significant step toward practical, high-performance MWIR imaging systems that are both scalable and accessible.

Identifiers

PMID41271682
PMCPMC12639110

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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.