Light: Science & Applications (Aug 2024)

Metalenses phase characterization by multi-distance phase retrieval

  • Bowen Liu,
  • Jialuo Cheng,
  • Maoxiong Zhao,
  • Jin Yao,
  • Xiaoyuan Liu,
  • Shaohu Chen,
  • Lei Shi,
  • Din Ping Tsai,
  • Zihan Geng,
  • Mu Ku Chen

DOI
https://doi.org/10.1038/s41377-024-01530-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Abstract Metalens, characterized by their unique functions and distinctive physical properties, have gained significant attention for their potential applications. To further optimize the performance of metalens, it is necessary to characterize the phase modulation of the metalens. In this study, we present a multi-distance phase retrieval system based on optical field scanning and discuss its convergence and robustness. Our findings indicate that the system is capable of retrieving the phase distribution of the metalens as long as the measurement noise is low and the total length of the scanned light field is sufficiently long. This system enables the analysis of focal length and aberration by utilizing the computed phase distribution. We extend our investigation to measure the phase distribution of the metalens operating in the near-infrared (NIR) spectrum and identify the impact of defects in the sample on the phase. Additionally, we conduct a comparative analysis of the phase distribution of the metalens in air and ethanol and observe the variations in the phase modulation of the metalens in different working mediums. Our system provides a straightforward method for the phase characterization of metalens, aiding in optimizing the metalens design and functionality.