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Terahertz nonlinear ghost imaging via plane decomposition: Toward near-field micro-volumetry

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Terahertz time-domain imaging targets the reconstruction of the full electromagnetic morphology of an object. In this spectral range, the near-field propagation strongly affects the information in the space-time domain in items with microscopic features. While this often represents a challenge, as the information needs to be disentangled to obtain high image fidelity, here we show that such a phenomenon can enable three-dimensional microscopy. Specifically, we investigate the capability of the time-resolved nonlinear ghost imaging (TNGI) methodology to implement field-sensitive micro-volumetry by plane decomposition. We leverage the temporally-resolved, field-sensitive detection to ‘refocus’ an image plane at an arbitrary distance from the source, which defines the near-field condition, and within a microscopic sample. Since space-time coupling rapidly evolves and diffuses within subwavelength length scales, our technique can separate and discriminate the information originating from different planes at different depths. Our approach is particularly suitable for objects with sparse micrometric details. Building upon this principle, we demonstrate complex, time-domain volumetry resolving internal object planes with sub-wavelength resolution, discussing the range of applicability of our technique.

Funding

Time-Resolved Nonlinear Ghost Imaging

European Research Council

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Industrial Pathway to Micro-Comb Lasers

Engineering and Physical Sciences Research Council

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The Leverhulme Trust (Early Career Fellowship ECF-2020-537 and Early Career Fellowship ECF-2022-710)

History

School

  • Science

Department

  • Physics

Published in

ACS Photonics

Volume

10

Issue

6

Pages

1726-1734

Publisher

American Chemical Society

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by the American Chemical Society under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2023-02-24

Publication date

2023-03-10

Copyright date

2023

eISSN

2330-4022

Language

  • en

Depositor

Dr Luana Olivieri. Deposit date: 28 February 2023

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