Evidence map›Paper›PMID 30337645›Full record

ArticleScientific reports2018

Recovering distance information in spectral domain interferometry.

Adrian Bradu, Niels Møller Israelsen, Michael Maria, Manuel J Marques, Sylvain Rivet, Thomas Feuchter, Ole Bang, Adrian Podoleanu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Journal of biophotonics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. EndoscopicBiomedical optics express · 2022
    Article
  8. Article
  9. 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.

Adrian BraduApplied Optics Group, School of Physical Sciences, University of Kent, CT2 7NH, Canterbury, UK. a.bradu@kent.ac.uk.ORCID http://orcid.org/0000-0002-6890-1599
Niels Møller IsraelsenDTU Fotonik, Department of Photonics Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Michael MariaDTU Fotonik, Department of Photonics Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Manuel J MarquesApplied Optics Group, School of Physical Sciences, University of Kent, CT2 7NH, Canterbury, UK.
Sylvain RivetLaboratoire d'Optique et de Magnétisme EA938, IBSAM, Univ. Bretagne Occidentale, C.S. 93837, 29238, Brest Cedex 3, France.
Thomas FeuchterNKT Photonics A/S, Blokken 84, DK-3460, Birkerod, Denmark.
Ole BangDTU Fotonik, Department of Photonics Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Adrian PodoleanuApplied Optics Group, School of Physical Sciences, University of Kent, CT2 7NH, Canterbury, UK.

Funding

Engineering and Physical Sciences Research Council (EPSRC) EP/N019229/1/
6 · The paper itself

Abstract

This work evaluates the performance of the Complex Master Slave (CMS) method, that processes the spectra at the interferometer output of a spectral domain interferometry device without involving Fourier transforms (FT) after data acquisition. Reliability and performance of CMS are compared side by side with the conventional method based on FT, phase calibration with dispersion compensation (PCDC). We demonstrate that both methods provide similar results in terms of resolution and sensitivity drop-off. The mathematical operations required to produce CMS results are highly parallelizable, allowing real-time, simultaneous delivery of data from several points of different optical path differences in the interferometer, not possible via PCDC.

Identifiers

PMID30337645
PMCPMC6194011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.