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Ultra-compact snapshot spectral light-field imaging

  • Xia Hua
  • , Yujie Wang
  • , Shuming Wang*
  • , Xiujuan Zou
  • , You Zhou
  • , Lin Li
  • , Feng Yan
  • , Xun Cao*
  • , Shumin Xiao*
  • , Din Ping Tsai*
  • , Jiecai Han
  • , Zhenlin Wang*
  • , Shining Zhu*
  • *Corresponding author for this work

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

155 Downloads (CityUHK Scholars)

Abstract

Ideal imaging, which is constantly pursued, requires the collection of all kinds of optical information of the objects in view, such as three-dimensional spatial information (3D) including the planar distribution and depth, and the colors, i.e., spectral information (1D). Although three-dimensional spatial imaging and spectral imaging have individually evolved rapidly, their straightforward combination is a cumbersome system, severely hindering the practical applications of four-dimensional (4D) imaging. Here, we demonstrate the ultracompact spectral light-field imaging (SLIM) by using a transversely dispersive metalens array and a monochrome imaging sensor. With only one snapshot, the SLIM presents advanced imaging with a 4 nm spectral resolution and near-diffraction-limit spatial resolution. Consequently, visually indistinguishable objects and materials can be discriminated through SLIM, which promotes significant progress towards ideal plenoptic imaging.
Original languageEnglish
Article number2732
JournalNature Communications
Volume13
Online published18 May 2022
DOIs
Publication statusPublished - 2022

Funding

The authors are grateful that this work was supported by the National Key R&D Program of China (2017YFA0303700), the National Natural Science Foundation of China (No. 62025108, 61627804, 11822406, 11774164, 11834007, 11774162, 11621091, 11974092). This work is also supported by the Fundamental Research Funds for the Central Universities No.020414380175, Shenzhen Fundamental research projects JCYJ20180507184613841, the University Grants Committee/Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. AoE/P-502/20 and GRF Project: 15303521), the Shenzhen Science and Technology Innovation Commission Grant (No. SGDX2019081623281169), the Department of Science and Technology of Guangdong Province (2020B1515120073), and City University of Hong Kong (Project No. 9380131).

Research Keywords

  • RESOLUTION
  • POLARIZATION
  • PHASE

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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