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Micromachines
Volume 17
Issue 1
10.3390/mi17010112
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

High-Resolution Snapshot Multispectral Imaging System for Hazardous Gas Classification and Dispersion Quantification

by
Zhi Li
1,2,†,
Hanyuan Zhang
1,2,*,†,
Qiang Li
1,2,
Yuxin Song
1,2,3,
Mengyuan Chen
1,2,
Shijie Liu
1,2,*,
Dongjing Li
1,
Chunlai Li
1,2,3,
Jianyu Wang
1,2,3 and
Renbiao Xie
4
1
Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
4
Shanghai Micro Electronics Equipment (Group) Co., Ltd., Shanghai 201203, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Micromachines 2026, 17(1), 112; https://doi.org/10.3390/mi17010112
Submission received: 16 December 2025 / Revised: 8 January 2026 / Accepted: 9 January 2026 / Published: 14 January 2026
(This article belongs to the Special Issue Gas Sensors: From Fundamental Research to Applications, 2nd Edition)
Versions Notes

Abstract

Real-time monitoring of hazardous gas emissions in open environments remains a critical challenge. Conventional spectrometers and filter wheel systems acquire spectral and spatial information sequentially, which limits their ability to capture multiple gas species and dynamic dispersion patterns rapidly. A High-Resolution Snapshot Multispectral Imaging System (HRSMIS) is proposed to integrate high spatial fidelity with multispectral capability for near real-time plume visualization, gas species identification, and concentration retrieval. Operating across the 7–14 μm spectral range, the system employs a dual-path optical configuration in which a high-resolution imaging path and a multispectral snapshot path share a common telescope, allowing for the simultaneous acquisition of fine two-dimensional spatial morphology and comprehensive spectral fingerprint information. Within the multispectral path, two 5×5 microlens arrays (MLAs) combined with a corresponding narrowband filter array generate 25 distinct spectral channels, allowing concurrent detection of up to 25 gas species in a single snapshot. The high-resolution imaging path provides detailed spatial information, facilitating spatio-spectral super-resolution fusion for multispectral data without complex image registration. The HRSMIS demonstrates modulation transfer function (MTF) values of at least 0.40 in the high-resolution channel and 0.29 in the multispectral channel. Monte Carlo tolerance analysis confirms imaging stability, enabling the real-time visualization of gas plumes and the accurate quantification of dispersion dynamics and temporal concentration variations.
Keywords: industrial monitoring; gas leak detection; snapshot multispectral imaging system (SMIS); high spatial resolution; microlens array (MLA); long-wave infrared (LWIR) industrial monitoring; gas leak detection; snapshot multispectral imaging system (SMIS); high spatial resolution; microlens array (MLA); long-wave infrared (LWIR)

Share and Cite

MDPI and ACS Style

Li, Z.; Zhang, H.; Li, Q.; Song, Y.; Chen, M.; Liu, S.; Li, D.; Li, C.; Wang, J.; Xie, R. High-Resolution Snapshot Multispectral Imaging System for Hazardous Gas Classification and Dispersion Quantification. Micromachines 2026, 17, 112. https://doi.org/10.3390/mi17010112

AMA Style

Li Z, Zhang H, Li Q, Song Y, Chen M, Liu S, Li D, Li C, Wang J, Xie R. High-Resolution Snapshot Multispectral Imaging System for Hazardous Gas Classification and Dispersion Quantification. Micromachines. 2026; 17(1):112. https://doi.org/10.3390/mi17010112

Chicago/Turabian Style

Li, Zhi, Hanyuan Zhang, Qiang Li, Yuxin Song, Mengyuan Chen, Shijie Liu, Dongjing Li, Chunlai Li, Jianyu Wang, and Renbiao Xie. 2026. "High-Resolution Snapshot Multispectral Imaging System for Hazardous Gas Classification and Dispersion Quantification" Micromachines 17, no. 1: 112. https://doi.org/10.3390/mi17010112

APA Style

Li, Z., Zhang, H., Li, Q., Song, Y., Chen, M., Liu, S., Li, D., Li, C., Wang, J., & Xie, R. (2026). High-Resolution Snapshot Multispectral Imaging System for Hazardous Gas Classification and Dispersion Quantification. Micromachines, 17(1), 112. https://doi.org/10.3390/mi17010112

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