High‐Speed Mid‐Infrared Imaging via Nonlinear Multiplexed Detection
Abstract High‐speed mid‐infrared (MIR) videography constitutes an enabling tool to monitor and analyze various dynamics in scientific research and industrial applications, such as combustion diagnostics, explosion reactions, photosynthetic tracking, and thermal surveillance. However, the frame rate of conventional MIR imagers is typically limited by readout electronics and detection sensitivity, especially for large spatial formats with massive pixels. Here, a high‐speed MIR upconversion imaging system based on time‐multiplexed nonlinear structured pumping is devised and implemented. Specifically, the dynamic infrared scene is optically gated by a sequence of spatially periodical pump patterns in a nonlinear crystal, which facilitates both rapid temporal encryption and sensitive upconversion detection. Then, the upconverted frames are superimposed onto a silicon camera within a single exposure, thus resulting in a multiplexed snapshot in the spatial‐frequency domain. Finally, the sub‐exposure images, corresponding to distinct transient events, can be computationally deciphered and reconstructed by the frequency recognition algorithm based on band‐pass filtering and Fourier transform operations. The achieved frame rate is tenfold boosted to 10 000 frames per second without compromising the megapixel spatial format, which allows continuous real‐time MIR videography at high speed and high definition. The presented approach can be readily extended to far‐infrared or terahertz spectral regions, with an aim of performing high‐throughput and high‐sensitivity observation of transient phenomena with high temporal complexity.
Authors
- Zhengru Guo (ORCID: https://orcid.org/0000-0003-0737-2811)
- Jian‐an Fang (ORCID: https://orcid.org/0000-0001-9875-318X)
- Kun Huang (ORCID: https://orcid.org/0000-0002-1899-7924)
- Min Peng
- Heping Zeng (ORCID: https://orcid.org/0000-0002-2357-4440)
- Ben Sun
- Ruiyang Qin
Institutions
- Chongqing Normal University (CN)
- University of Shanghai for Science and Technology (CN)
- Shanxi University (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- East China Normal University (CN)
Publication Details
- Journal
- Laser & Photonics Review
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1002/lpor.202500308
- Citations
- 3
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 3.58
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing
- Fundamental Research Funds for the Central Universities