Biovision‐Inspired Perovskite Intelligent Camera for Panchromatic and Metameric Sensing

Biological vision systems excel at acquiring and processing information, but there is often a trade-off between these capabilities. For instance, mantis shrimp possess exceptional spectral sensing but poor color perception due to limited neural processing. Taking the best of both worlds, the mantis shrimp's spectral detection ability and the human-like visual processing power are integrated to achieve full-color perception. Using an aerosol-liquid-solid spraying technique, an array of high-quality, excess ion migration enhanced perovskite narrowband photodetectors spanning the ultraviolet to visible spectrum is developed. These detectors enable a computational multispectral imaging system that captures seven spectral images in one shot. A deep-learning-based color fusion network is designed to efficiently translate multispectral inputs into an RGB representation, significantly enhancing color recognition of these mantis shrimp-inspired multispectral cameras and affording the capability to overcome metamerism. These perovskite intelligent camera leverages the strengths of biological vision and demonstrate a novel approach to multispectral imaging that could advance applications in machine vision, remote sensing, and medical imaging.

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Institutions

Publication Details

Journal
Advanced Materials
Published
2025-08-15
DOI
https://doi.org/10.1002/adma.202508984
Citations
2
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
1.46

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article

Biovision‐Inspired Perovskite Intelligent Camera for Panchromatic and Metameric Sensing

Zikun Jin, Xuyin Ding, Shanshan Yu, Zhong Ji et al.
2 citations
Advanced Materials
Perovskite Materials and Applications
1.46
article

Biovision‐Inspired Perovskite Intelligent Camera for Panchromatic and Metameric Sensing

Zikun Jin, Xuyin Ding, Shanshan Yu, Zhong Ji, Qian Li, Yu Li, Jian Wang, Min Zhang, Jie Tian, Xueli Chen, Yujin Liu, Shihe Yang, Jingyang Xing
article en
2 citations

Abstract

Biological vision systems excel at acquiring and processing information, but there is often a trade-off between these capabilities. For instance, mantis shrimp possess exceptional spectral sensing but poor color perception due to limited neural processing. Taking the best of both worlds, the mantis shrimp's spectral detection ability and the human-like visual processing power are integrated to achieve full-color perception. Using an aerosol-liquid-solid spraying technique, an array of high-quality, excess ion migration enhanced perovskite narrowband photodetectors spanning the ultraviolet to visible spectrum is developed. These detectors enable a computational multispectral imaging system that captures seven spectral images in one shot. A deep-learning-based color fusion network is designed to efficiently translate multispectral inputs into an RGB representation, significantly enhancing color recognition of these mantis shrimp-inspired multispectral cameras and affording the capability to overcome metamerism. These perovskite intelligent camera leverages the strengths of biological vision and demonstrate a novel approach to multispectral imaging that could advance applications in machine vision, remote sensing, and medical imaging.

Advanced MaterialsVol. 37(44)
Peking University (CN), Shenzhen Bay Laboratory (CN), East China Normal University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Xidian University, Shenzhen Peacock Plan
Openalex Percentile: Top 16%
Perovskite Materials and Applications
1.46
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