Authors
Yu Li, Zikun Jin, Yujin Liu, Jian Wang, Shanshan Yu, Jingyang Xing, Jieuyu Tian, Xuyin Ding, Min Zhang, Qian Li, Zhong Ji, Xueli Chen, Shihe Yang
Published in
Advanced materials (Deerfield Beach, Fla.). Pages e08984. Aug 15, 2025. Epub Aug 15, 2025.
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.
PMID:
40817622
Bibliographic data and abstract were imported from PubMed on 16 Aug 2025.
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