Edge detection with meta-lens: From one dimension to three dimensions

Mu Ku Chen, Yue Yan, Xiaoyuan Liu, Yongfeng Wu, Jingcheng Zhang, Jiaqi Yuan, Zhengnan Zhang, Din Ping Tsai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


Meta-lens has successfully been developed for a variety of optical functions. We demonstrate a light-field edge detection imaging system with a gallium nitride achromatic meta-lens array. It enables edge detection from one dimension to three dimensions. The designed meta-lens array consists of 60 by 60 achromatic meta-lenses, which operate in the visible range from 400 to 660 nm. All of the light field information of objects in the scene can be captured and computed. The focused edge images from one dimension to three dimensions are extracted with depth estimation by image rendering. Three dimensions edge detection is two dimensions edge imaging with depth information. The focused edge images can be obtained by the sub-image reconstruction of the light field image. Our multidimensional edge detection system by achromatic meta-lens array brings novel advantages, such as broadband detection, data volume reduction, and device miniaturization capacity. Results of our experiments show new insight into applications of biological diagnose and robotic vision.

Original languageEnglish
Pages (from-to)3709-3715
Number of pages7
Issue number14
Publication statusPublished - 2 Oct 2021


  • edge detection
  • light field imaging
  • meta-lens
  • metasurface

ASJC Scopus subject areas

  • Biotechnology
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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