Biovision‐Inspired Perovskite Intelligent Camera for Panchromatic and Metameric Sensing

Y Yu Li Z Zikun Jin (Guangdong Provincial Key Lab of Nano‐Micro Materials Research School of Advanced Materials Peking University Shenzhen 518055 China) Y Yujin Liu J Jian Wang S Shanshan Yu J Jingyang Xing J Jieuyu Tian (Guangzhou Institute of Technology Innovation Center for Advanced Medical Imaging and Intelligent Medicine Xidian University Guangzhou 510555 China) X Xuyin Ding (Department of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa Israel) M Min Zhang Q Qian Li Z Zhong Ji X Xueli Chen S Shihe Yang

Abstract

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.

Article Details

Volume / Issue Vol. 37, Issue 44
Published November 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (13)

Y

Yu Li

Z

Zikun Jin

Guangdong Provincial Key Lab of Nano‐Micro Materials Research School of Advanced Materials Peking University Shenzhen 518055 China

Y

Yujin Liu

J

Jian Wang

S

Shanshan Yu

J

Jingyang Xing

J

Jieuyu Tian

Guangzhou Institute of Technology Innovation Center for Advanced Medical Imaging and Intelligent Medicine Xidian University Guangzhou 510555 China

X

Xuyin Ding

Department of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa Israel

M

Min Zhang

Q

Qian Li

Z

Zhong Ji

X

Xueli Chen

S

Shihe Yang