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
- Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging
- Light: Science & Applications 2026年15卷第1期页码：17-18
- 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
  中图分类号：
- 网络出版：2026-01-02，
  
  纸质出版：2026-01-31
- Accepted：
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Di Sun, Wenxin Zheng, Hui Deng, 等. Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging[J]. Light: Science & Applications, 2026,15(1):17-18.

Sun, D. et al. Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging. Light: Science & Applications, 15, 17-18 (2026).
Di Sun, Wenxin Zheng, Hui Deng, 等. Towards broadband artificial vision: CMOS-integrated SWIR-MWIR imaging[J]. Light: Science & Applications, 2026,15(1):17-18. DOI： 10.1038/s41377-025-02087-3.

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

Long, Z. H. et al. Biomimetic optoelectronics with nanomaterials for artificial vision . Nat. Rev. Mater. 10 , 128–146 (2025)..

Kim, M. et al. An aquatic-vision-inspired camera based on a monocentric lens and a silicon nanorod photodiode array. Nat. Electron. 3 , 546–553 (2020)..

Kim, M. S. et al. Feline eye-inspired artificial vision for enhanced camouflage breaking under diverse light conditions. Sci. Adv. 10 , eadp2809 (2024)..

Park, J. et al. Avian eye-inspired perovskite artificial vision system for foveated and multispectral imaging. Sci. Robot. 9 , eadk6903 (2024)..

Lee, M. et al. An amphibious artificial vision system with a panoramic visual field. Nat. Electron. 5 , 452–459 (2022)..

Gracheva, E. O. et al. Molecular basis of infrared detection by snakes. Nature 464 , 1006–1011 (2010)..

Zhou, W. J. et al. Solution-processed upconversion photodetectors based on quantum dots. Nat. Electron. 3 , 251–258 (2020)..

Sergeeva, K. A. et al. The ri se of HgTe colloidal quantum dots for infrared optoelectronics. Adv. Funct. Mater. 34 , 2405307 (2024)..

Ackerman, M. M., Tang, X. & Guyot-Sionnest, P. Fast and sensitive colloidal quantum dot mid-wave infrared photodetectors. ACS Nano 12 , 7264–7271 (2018)..

Tang, X., Ackerman, M. M. & Guyot-Sionnest, P. Thermal imaging with plasmon resonance enhanced HgTe colloidal quantum dot photovoltaic devices. ACS Nano 12 , 7362–7370 (2018)..

Mu, G. et al. Infrared visualized snakes-inspired artificial vision systems with CMOS sensors-integrated upconverters. Light Sci. Appl. 14 , 282 (2025)..

Otgonbayar, Z. et al. Designing LiDAR-detectable dark-tone materials with high near-infrared reflectivity for autonomous driving: a comprehensive review. Adv. Funct. Mater. 35 , 2414876 (2025)..

Fu, X. P. & Ying, Y. B. Food safety evaluation based on near infrared spectroscopy and imaging: a review. Crit. Rev. Food Sci. Nutr. 56 , 1913–1924 (2016)..

Shepherd, K. D. & Walsh, M. G. Infrared spectroscopy-enabling an evidence-based diagnostic surveillance approach to agricultural and environmental management in developing countries. J. Infrared Spectrosc. 15 , 1–19 (2007)..

Jiang, L. J. et al. A perspective on medical infrared imaging. J. Med. Eng. Technol. 29 , 257–267 (2005)..

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