Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging

Di Sun; Wenxin Zheng; Hui Deng; Liangliang Liang

doi:10.1038/s41377-025-02087-3

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Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging

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- Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging
- Light: Science & Applications Vol. 15, Issue 1, Pages: 17-18(2026)
- Affiliations：
  
  Institute of Flexible Electronics (IFE, Future Technologies), Xiang’an Campus, Xiamen University, Xiang’an South Road, 361102 Xiamen, Fujian, China
- Author bio：
  
  Liangliang Liang (ifellliang@xmu.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-02087-3
  CLC：
- Published Online：02 January 2026，
  
  Published：31 January 2026
- Accepted：
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Sun, D. et al. Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging. Light: Science & Applications, 15, 17-18 (2026).
DOI：

Sun, D. et al. Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging. Light: Science & Applications, 15, 17-18 (2026). DOI： 10.1038/s41377-025-02087-3.

摘要

Abstract

Inspired by the snake pit organ’s remarkable ability to perceive mid-wave infrared (MWIR) radiation

researchers have developed a biomimetic artificial vision system that integrates infrared-to-visible upconverters with CMOS sensors. Operating at room temperature

this platform enables direct visualization of both short-wave infrared (SWIR) and MWIR

marking a pioneering demonstration of broadband infrared imaging with high resolution. Such a breakthrough paves the way for low-cost and flexible applications in night vision

agricultural monitoring

industrial inspection

and beyond.

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Keywords

references

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