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<p>Inspired by the multi-layer polarization-sensitive structure of the <i>Mantis Shrimp</i>’s retina, we propose a multifunctional liquid-crystal multi-focal metalens (LC-MFM) for intelligent imaging and adaptive display. The device integrates a liquid crystal polarizer with a multi-focal metalens, enabling electrical switching of focal lengths through voltage control. A deep learning framework is employed to accelerate the inverse design of metaatoms that satisfy dual-polarization phase requirements. The fabricated LC-MFM achieves high focusing efficiency up to 68.8%, fast response times on the millisecond scale, and high resolution of &gt;101 lp/mm. Two dynamic optical applications are demonstrated: an intelligent imaging system capable of realtime edge detection, image fusion, and depth-of-field prediction, and a compact augmented reality display that alleviates the vergence-accommodation conflict by dynamically adjusting virtual image depth. This work presents a novel paradigm that combines bio-inspired design, active metasurfaces, and machine learning for next-generation compact optical systems.</p>

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Bio-inspired electrically tunable multi-focal metalens for intelligent imaging and near-eye displays

  • 期刊论文

  • 发表日期：

    2026年4月21日

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  • Yuyan Peng,
  • Chunliang Chen,
  • Jiawei Zhang,
  • Yongjun Liu,
  • Weiquan Yang,
  • Zhenyou Zou,
  • Yongai Zhang,
  • Tailiang Guo,
  • Qun Yan,
  • Chaoxing Wu,
  • Xiongtu Zhou

摘要

Inspired by the multi-layer polarization-sensitive structure of the Mantis Shrimp’s retina, we propose a multifunctional liquid-crystal multi-focal metalens (LC-MFM) for intelligent imaging and adaptive display. The device integrates a liquid crystal polarizer with a multi-focal metalens, enabling electrical switching of focal lengths through voltage control. A deep learning framework is employed to accelerate the inverse design of metaatoms that satisfy dual-polarization phase requirements. The fabricated LC-MFM achieves high focusing efficiency up to 68.8%, fast response times on the millisecond scale, and high resolution of >101 lp/mm. Two dynamic optical applications are demonstrated: an intelligent imaging system capable of realtime edge detection, image fusion, and depth-of-field prediction, and a compact augmented reality display that alleviates the vergence-accommodation conflict by dynamically adjusting virtual image depth. This work presents a novel paradigm that combines bio-inspired design, active metasurfaces, and machine learning for next-generation compact optical systems.