Skip to main navigation Skip to search Skip to main content

Eagle-Eye Inspired Meta-Device for Phase Imaging

  • Junxiao Zhou
  • , Fanglin Tian
  • , Jie Hu
  • , Zhixia (Linda) Shi
  • , Veronica Gomez Godinez
  • , Din Ping Tsai*
  • , Zhaowei Liu*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The dual-focus vision observed in eagles' eyes is an intriguing phenomenon captivates scientists since a long time. Inspired by this natural occurrence, the authors’ research introduces a novel bifocal meta-device incorporating a polarized camera capable of simultaneously capturing images for two different polarizations with slightly different focal distances. This innovative approach facilitates the concurrent acquisition of underfocused and overfocused images in a single snapshot, enabling the effective extraction of quantitative phase information from the object using the transport of intensity equation. Experimental demonstrations showcase the application of quantitative phase imaging to artificial objects and human embryonic kidney cells, particularly emphasizing the meta-device's relevance in dynamic scenarios such as laser-induced ablation in human embryonic kidney cells. Moreover, it provides a solution for the quantification during the dynamic process at the cellular level. Notably, the proposed eagle-eye inspired meta-device for phase imaging (EIMPI), due to its simplicity and compact nature, holds promise for significant applications in fields such as endoscopy and headsets, where a lightweight and compact setup is essential. © 2024 Wiley-VCH GmbH.
Original languageEnglish
Article number2402751
JournalAdvanced Materials
Volume36
Issue number32
Online published30 May 2024
DOIs
Publication statusPublished - 8 Aug 2024

Research Keywords

  • meta-devices
  • metalens
  • quantitative phase imaging

Fingerprint

Dive into the research topics of 'Eagle-Eye Inspired Meta-Device for Phase Imaging'. Together they form a unique fingerprint.

Cite this