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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-11-21
DOI
https://doi.org/10.1038/s41467-025-65188-y
Citations
1
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Vishwanath Saragadam, Anna Wirth-Singh, Arka Majumdar, Ashok Veeraraghavan et al.
1 citations
Nature Communications
Metamaterials and Metasurfaces Applications
0.43
article

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

Vishwanath Saragadam, Anna Wirth-Singh, Arka Majumdar, Ashok Veeraraghavan, Jing Wang, Rose Johnson
article en
1 citations

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.

Nature CommunicationsVol. 16(1)
University of California, Riverside (US), University of Washington (US), University of Washington Applied Physics Laboratory (US), Rice University (US)
National Science Foundation
Openalex Percentile: Top 34%
Metamaterials and Metasurfaces Applications
0.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A golay metalens for long-range, large aperture, thermal imaging via sparse aperture computational imaging — Vishwanath Saragadam, Anna Wirth-Singh, et al. · Nature Communications (2025) | TGRS Research Map | TGRS