Terahertz single-pixel video based on a matrix-addressable infrared vertical-cavity surface-emitting laser array

Terahertz single-pixel imaging technology, which utilizes the unique properties of terahertz waves in combination with a single-pixel detector, offers an effective solution to the scarcity of high-performance focal-plane array detectors in the terahertz regime. However, its widespread application has been hindered primarily by low imaging frame rates. In this study, we propose a high-speed terahertz single-pixel imaging approach based on a vertical-cavity surface-emitting laser array. By integrating a custom-designed 32×32 infrared vertical-cavity surface-emitting laser module with field-programmable gate array-based control and optimized Hadamard encoding, our system overcomes the mechanical switching limitations of conventional digital micromirror devices. Experimental results show the system achieves real-time imaging at 25 frames per second under full sampling. Furthermore, under undersampling conditions, the frame rate reaches 50 fps. Compared to existing methods, our approach improves the imaging speed by an order of magnitude at equivalent resolution while preserving full sampling capability. This advancement offers a fast and efficient solution for dynamic terahertz imaging, with strong potential for applications in security screening, biomedical diagnostics, and beyond.

Authors

Institutions

Publication Details

Journal
Applied Physics Letters
Published
2025-12-22
DOI
https://doi.org/10.1063/5.0306185
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Terahertz single-pixel video based on a matrix-addressable infrared vertical-cavity surface-emitting laser array

Dongshan Wei, Junjie Huo, Ye Lu, Rongbin She
Applied Physics Letters
Random lasers and scattering media
article

Terahertz single-pixel video based on a matrix-addressable infrared vertical-cavity surface-emitting laser array

Dongshan Wei, Junjie Huo, Ye Lu, Rongbin She
article en

Abstract

Terahertz single-pixel imaging technology, which utilizes the unique properties of terahertz waves in combination with a single-pixel detector, offers an effective solution to the scarcity of high-performance focal-plane array detectors in the terahertz regime. However, its widespread application has been hindered primarily by low imaging frame rates. In this study, we propose a high-speed terahertz single-pixel imaging approach based on a vertical-cavity surface-emitting laser array. By integrating a custom-designed 32×32 infrared vertical-cavity surface-emitting laser module with field-programmable gate array-based control and optimized Hadamard encoding, our system overcomes the mechanical switching limitations of conventional digital micromirror devices. Experimental results show the system achieves real-time imaging at 25 frames per second under full sampling. Furthermore, under undersampling conditions, the frame rate reaches 50 fps. Compared to existing methods, our approach improves the imaging speed by an order of magnitude at equivalent resolution while preserving full sampling capability. This advancement offers a fast and efficient solution for dynamic terahertz imaging, with strong potential for applications in security screening, biomedical diagnostics, and beyond.

Applied Physics LettersVol. 127(25)
Southern University of Science and Technology (CN), Key Laboratory of Guangdong Province (CN), Shenzhen Institutes of Advanced Technology (CN)
Openalex Percentile: Top 32%
Random lasers and scattering media
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.