Evidence map›Paper›PMID 32443881›Full record

ArticleMicromachines2020

Route to Intelligent Imaging Reconstruction via Terahertz Nonlinear Ghost Imaging.

Juan S Totero Gongora, Luana Olivieri, Luke Peters, Jacob Tunesi, Vittorio Cecconi, Antonio Cutrona, Robyn Tucker, Vivek Kumar, Alessia Pasquazi, Marco Peccianti

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Juan S Totero GongoraEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Luana OlivieriEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Luke PetersEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Jacob TunesiEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Vittorio CecconiEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Antonio CutronaEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Robyn TuckerEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Vivek KumarEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Alessia PasquaziEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.
Marco PecciantiEmergent Photonics (EPic) Laboratory, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK.

Funding

Engineering and Physical Sciences Research Council EP/N509784/1European Commission 725046Università degli Studi di Palermo Corso di Perfezionamento all'estero 2018University of Sussex Helena Normanton Fellowship
6 · The paper itself

Abstract

Terahertz (THz) imaging is a rapidly emerging field, thanks to many potential applications in diagnostics, manufacturing, medicine and material characterisation. However, the relatively coarse resolution stemming from the large wavelength limits the deployment of THz imaging in micro- and nano-technologies, keeping its potential benefits out-of-reach in many practical scenarios and devices. In this context, single-pixel techniques are a promising alternative to imaging arrays, in particular when targeting subwavelength resolutions. In this work, we discuss the key advantages and practical challenges in the implementation of time-resolved nonlinear ghost imaging (TIMING), an imaging technique combining nonlinear THz generation with time-resolved time-domain spectroscopy detection. We numerically demonstrate the high-resolution reconstruction of semi-transparent samples, and we show how the Walsh-Hadamard reconstruction scheme can be optimised to significantly reduce the reconstruction time. We also discuss how, in sharp contrast with traditional intensity-based ghost imaging, the field detection at the heart of TIMING enables high-fidelity image reconstruction via low numerical-aperture detection. Even more striking-and to the best of our knowledge, an issue never tackled before-the general concept of "resolution" of the imaging system as the "smallest feature discernible" appears to be not well suited to describing the fidelity limits of nonlinear ghost-imaging systems. Our results suggest that the drop in reconstruction accuracy stemming from non-ideal detection conditions is complex and not driven by the attenuation of high-frequency spatial components (i.e., blurring) as in standard imaging. On the technological side, we further show how achieving efficient optical-to-terahertz conversion in extremely short propagation lengths is crucial regarding imaging performance, and we propose low-bandgap semiconductors as a practical framework to obtain THz emission from quasi-2D structures, i.e., structure in which the interaction occurs on a deeply subwavelength scale. Our results establish a comprehensive theoretical and experimental framework for the development of a new generation of terahertz hyperspectral imaging devices.

Indexed as

adaptive imagingcomplex optical systemsnonlinear optical conversionsingle-pixel imagingsurface nonlinear photonicsterahertz

Identifiers

PMID32443881
PMCPMC7281734

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.