Evidence map›Paper›PMID 38332232›Full record

ArticleScientific reports2024

Terahertz microscopy using laser feedback interferometry based on a generalised phase-stepping algorithm.

Daniel Mohun, Nikollao Sulollari, Mohammed Salih, Lianhe H Li, John E Cunningham, Edmund H Linfield, A Giles Davies, Paul Dean

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Daniel MohunSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
Nikollao SulollariSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
Mohammed SalihSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
Lianhe H LiSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
John E CunninghamSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
Edmund H LinfieldSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
A Giles DaviesSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
Paul DeanSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK. p.dean@leeds.ac.uk.

Funding

Engineering and Physical Sciences Research Council EP/P021859/1Wolfson Foundation WM110032
6 · The paper itself

Abstract

In this paper we report an improved method of coherent sensing through the use of a generalized phase-stepping algorithm to extract magnitude and phase information from interferometric fringes acquired by laser feedback interferometry (LFI). Our approach allows for significantly reduced optical sampling and acquisition times whilst also avoiding the need for fitting to complex models of lasers under optical feedback in post-processing. We investigate theoretically the applicability of this method under different levels of optical feedback, different laser parameters, and for different sampling conditions. We furthermore validate its use experimentally for LFI-based sensing using a terahertz (THz)-frequency laser in both far-field and near-field sensing configurations. Finally we demonstrate our approach for two-dimensional nanoscale imaging of the out-of-plane field supported by individual micro-resonators at THz frequencies. Our results show that fully coherent sensing can be achieved reliably with as little as 4 sampling points per imaging pixel, opening up opportunities for fast coherent sensing not only at THz frequencies but across the visible and infra-red spectrum.

Identifiers

PMID38332232
PMCPMC10853214

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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.