Hyperspectral terahertz microscopy via nonlinear ghost-imaging

Olivieri, Luana, Totero Gongora, Juan S, Peters, Luke, Cecconi, Vittorio, Cutrona, Antonio, Tunesi, Jacob, Tucker, Robyn, Pasquazi, Alessia and Peccianti, Marco (2020) Hyperspectral terahertz microscopy via nonlinear ghost-imaging. Optica, 7 (2). pp. 186-191. ISSN 2334-2536

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Ghost-imaging, based on single-pixel detection and multiple pattern illumination, is a crucial investigation tool in difficult-to-access wavelength regions. In the terahertz domain, where high-resolution imagers are mostly unavailable, Ghost-imaging is an optimal approach to embed the temporal dimension, creating a ‘hyperspectral’ imager. In this framework high-resolution is mostly out-of-reach. Hence, it is particularly critical to developing practical approaches for microscopy. Here we experimentally demonstrate Time-Resolved Nonlinear Ghost-Imaging, a technique based on near-field, optical-to-terahertz nonlinear conversion and detection of illumination patterns. We show how space-time coupling affects near-field time-domain imaging and we develop a complete methodology that overcomes fundamental systematic reconstruction issues. Our theoretical-experimental platform enables high-fidelity subwavelength imaging and carries relaxed constrains on the nonlinear generation crystal thickness. Our work establishes a rigorous framework to reconstruct hyperspectral images of complex samples inaccessible through standard fixed-time methods.

Item Type: Article
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Research Centres and Groups: Atomic, Molecular and Optical Physics Research Group
Subjects: Q Science > QC Physics > QC0350 Optics. Light
Q Science > QC Physics > QC0350 Optics. Light > QC0395 Physical optics > QC0446.2 Nonlinear optics. Quantum optics
Q Science > QC Physics > QC0350 Optics. Light > QC0450 Spectroscopy > QC0454.T47 Terahertz spectroscopy
Depositing User: Juan Sebastian Totero Gongora
Date Deposited: 23 Jan 2020 08:30
Last Modified: 30 Jul 2020 11:56
URI: http://sro.sussex.ac.uk/id/eprint/89491

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