Evidence map›Paper›PMID 32879334›Full record

ArticleScientific reports2020

Hyperspectral terahertz imaging with electro-optic dual combs and a FET-based detector.

Pedro Martín-Mateos, Dovilė Čibiraitė-Lukenskienė, Roberto Barreiro, Cristina de Dios, Alvydas Lisauskas, Viktor Krozer, Pablo Acedo

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Roadmap of Terahertz Imaging 2021.Sensors (Basel, Switzerland) · 2021
    Review
  5. Review
  6. Article
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

7 authors.

Pedro Martín-MateosElectronic Technology Department, Universidad Carlos III de Madrid, Leganés, Spain. pmmateos@ing.uc3m.es.
Dovilė Čibiraitė-LukenskienėPhysikalisches Institut, Goethe Universität Frankfurt, Frankfurt, Germany.
Roberto BarreiroElectronic Technology Department, Universidad Carlos III de Madrid, Leganés, Spain.
Cristina de DiosElectronic Technology Department, Universidad Carlos III de Madrid, Leganés, Spain.
Alvydas LisauskasInstitute of Applied Electrodynamics and Telecommunications, Vilnius University, Vilnius, Lithuania.
Viktor KrozerElectronic Technology Department, Universidad Carlos III de Madrid, Leganés, Spain.
Pablo AcedoElectronic Technology Department, Universidad Carlos III de Madrid, Leganés, Spain.

Funding

Foundation for Polish Science IRA CENTERAH2020 European Research Council 675683H2020 European Research Council 777222Spanish Ministry of Economy and Competitiveness TEC2017-86271-R
6 · The paper itself

Abstract

In this paper, a terahertz hyperspectral imaging architecture based on an electro-optic terahertz dual-comb source is presented and demonstrated. In contrast to single frequency sources, this multi-heterodyne system allows for the characterization of the whole spectral response of the sample in parallel for all the frequency points along the spectral range of the system. This hence provides rapid, highly consistent results and minimizes measurement artifacts. The terahertz illumination signal can be tailored (in spectral coverage and resolution) with high flexibility to meet the requirements of any particular application or experimental scenario while maximizing the signal-to-noise ratio of the measurement. Besides this, the system provides absolute frequency accuracy and a very high coherence that allows for direct signal detection without inter-comb synchronization mechanisms, adaptive acquisition, or post-processing. Using a field-effect transistor-based terahertz resonant 300 GHz detector and the raster-scanning method we demonstrate the two-dimensional hyperspectral imaging of samples of different kinds to illustrate the remarkable capabilities of this innovative architecture. A proof-of-concept demonstration has been performed in which tree leaves and a complex plastic fragment have been analyzed in the 300 GHz range with a frequency resolution of 10 GHz.

Identifiers

PMID32879334
PMCPMC7468264

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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.