Broadband and parallel multiple-order optical spatial differentiation enabled by Bessel vortex modulated metalens

Optical analog image processing technology is expected to provide an effective solution for high-throughput and real-time data processing with low power consumption. In various operations, optical spatial differential operations are essential in edge extraction, data compression, and feature classification. Unfortunately, existing methods can only perform low-order or selectively perform a particular high-order differential operation. Here, we propose and experimentally demonstrate a Bessel vortex modulated metalens composed of a single complex amplitude metasurface, which can perform multiple-order radial differential operations over a wide band by presetting the order of the corresponding Bessel vortex. This architecture further enables angle multiplexing to create multiple information channels that synchronously perform multi-order spatial differential operations, indicating the superiority of the proposed devices in parallel processing. Our approach may find various applications in artificial intelligence, machine vision, autonomous driving, and advanced biomedical imaging.

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Publication Details

Journal
Nature Communications
Published
2024-10-19
DOI
https://doi.org/10.1038/s41467-024-53463-3
Citations
49
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
17.02

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Broadband and parallel multiple-order optical spatial differentiation enabled by Bessel vortex modulated metalens

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Neural Networks and Reservoir Computing
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Broadband and parallel multiple-order optical spatial differentiation enabled by Bessel vortex modulated metalens

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article en
49 citations

Abstract

Optical analog image processing technology is expected to provide an effective solution for high-throughput and real-time data processing with low power consumption. In various operations, optical spatial differential operations are essential in edge extraction, data compression, and feature classification. Unfortunately, existing methods can only perform low-order or selectively perform a particular high-order differential operation. Here, we propose and experimentally demonstrate a Bessel vortex modulated metalens composed of a single complex amplitude metasurface, which can perform multiple-order radial differential operations over a wide band by presetting the order of the corresponding Bessel vortex. This architecture further enables angle multiplexing to create multiple information channels that synchronously perform multi-order spatial differential operations, indicating the superiority of the proposed devices in parallel processing. Our approach may find various applications in artificial intelligence, machine vision, autonomous driving, and advanced biomedical imaging.

Nature CommunicationsVol. 15(1)
China Pharmaceutical University (CN), Nanjing University of Science and Technology (CN), Collaborative Innovation Center of Advanced Microstructures (CN), Jiangsu University of Technology (CN), Changzhou University (CN), Nanjing University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 1%
Neural Networks and Reservoir Computing
17.02
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