Evidence map›Paper›PMID 35457918›Full record

ReviewMicromachines2022

Spectral Interferometry with Frequency Combs.

Krishna Twayana, Israel Rebolledo-Salgado, Ekaterina Deriushkina, Jochen Schröder, Magnus Karlsson, Victor Torres-Company

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Krishna TwayanaDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.ORCID 0000-0002-0535-2406
Israel Rebolledo-SalgadoDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.ORCID 0000-0001-8269-1033
Ekaterina DeriushkinaDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.ORCID 0000-0002-1644-7486
Jochen SchröderDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.ORCID 0000-0002-1016-8152
Magnus KarlssonDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.ORCID 0000-0002-2438-2491
Victor Torres-CompanyDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.ORCID 0000-0002-3504-2118

Funding

European Research Council DarkComb CoG, GA 771410)Horizon 2020 program Microcomb (GA 812818)Swedish Foundation for Strategic Research FID16-0011Swedish Research Council 2017-05157Swedish Research Council 2020-00453
6 · The paper itself

Abstract

In this review paper, we provide an overview of the state of the art in linear interferometric techniques using laser frequency comb sources. Diverse techniques including Fourier transform spectroscopy, linear spectral interferometry and swept-wavelength interferometry are covered in detail. The unique features brought by laser frequency comb sources are shown, and specific applications highlighted in molecular spectroscopy, optical coherence tomography and the characterization of photonic integrated devices and components. Finally, the possibilities enabled by advances in chip scale swept sources and frequency combs are discussed.

Indexed as

laser frequency combsmicroresonatorsoptical coherence tomographyoptical frequency domain reflectometryoptical signal processingoptical spectroscopysilicon photonicsspectral interferometryswept-wavelength interferometry

Identifiers

PMID35457918
PMCPMC9026469

What OpenQuestion holds

Textmetadata
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.