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

Pengcheng Huo, Le Tan, Yaqi Jin, Yanzeng Zhang, Mingze Liu, Peicheng Lin, Song Zhang, Yilin Wang, Haiyang Ren, Yanqing Lu () and Ting Xu ()
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Pengcheng Huo: Nanjing University
Le Tan: Nanjing University
Yaqi Jin: Nanjing University
Yanzeng Zhang: Nanjing University
Mingze Liu: Nanjing University
Peicheng Lin: Nanjing University
Song Zhang: Nanjing University
Yilin Wang: Nanjing University
Haiyang Ren: Nanjing University
Yanqing Lu: Nanjing University
Ting Xu: Nanjing University

Nature Communications, 2024, vol. 15, issue 1, 1-8

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-53463-3

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