Off-axis metalens avoiding aberrations and spectral line curvature for spectral analysis

Miniature spectrometers play an important role in a variety of fields, including environmental monitoring, biomedical diagnostics, and industrial quality control. For these applications, achieving high spectral resolution across broad wavelength ranges is important. This study presents an off-axis metalens that overcomes the key limitations of miniaturized spectrometers by simultaneously achieving broadband and high spectral resolution. Based on a systematic study of the influence of focal length, numerical aperture (NA), and off-axis angle on the spectral resolution, we optimized these three parameters and fabricated an off-axis metalens with a NA of 0.04, an off-axis angle of 5.71°, and an aperture of 1.6 mm. Experimental results demonstrate that the off-axis metalens effectively eliminates both aberrations and spectral line curvature in broadband spectral analysis. It achieves a reciprocal linear dispersion of 3.3 × 10<sup>-2</sup> nm/μm, enabling nanometer spectral resolution across the 500-750 nm wavelength range. The proposed off-axis metalens addresses key challenges in metalens-based spectrometers, such as aberrations and spectral line curvature, thereby enabling practical applications in portable high-precision spectral analysis systems.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-10-17
DOI
https://doi.org/10.1364/oe.576522
Primary Topic
Advanced optical system design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Off-axis metalens avoiding aberrations and spectral line curvature for spectral analysis

Dejia Meng, Zhenhua Ji, Dingyao Lei, Chengmiao Wang et al.
Optics Express
Advanced optical system design
article

Off-axis metalens avoiding aberrations and spectral line curvature for spectral analysis

Dejia Meng, Zhenhua Ji, Dingyao Lei, Chengmiao Wang, Yanlin Niu, Yeming Han, Hang Zhang, Jianyu Zhang, Chao Lin, Long Wang, Fu Yang, Yu Lin, Chengliang Li, Yuquan Zheng
article en

Abstract

Miniature spectrometers play an important role in a variety of fields, including environmental monitoring, biomedical diagnostics, and industrial quality control. For these applications, achieving high spectral resolution across broad wavelength ranges is important. This study presents an off-axis metalens that overcomes the key limitations of miniaturized spectrometers by simultaneously achieving broadband and high spectral resolution. Based on a systematic study of the influence of focal length, numerical aperture (NA), and off-axis angle on the spectral resolution, we optimized these three parameters and fabricated an off-axis metalens with a NA of 0.04, an off-axis angle of 5.71°, and an aperture of 1.6 mm. Experimental results demonstrate that the off-axis metalens effectively eliminates both aberrations and spectral line curvature in broadband spectral analysis. It achieves a reciprocal linear dispersion of 3.3 × 10<sup>-2</sup> nm/μm, enabling nanometer spectral resolution across the 500-750 nm wavelength range. The proposed off-axis metalens addresses key challenges in metalens-based spectrometers, such as aberrations and spectral line curvature, thereby enabling practical applications in portable high-precision spectral analysis systems.

Optics ExpressVol. 33(22)
Changchun University of Science and Technology (CN), Chinese Academy of Sciences (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 72%
Advanced optical system design
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.