Evidence map›Paper›PMID 29907767›Full record

ArticleScientific reports2018

All-depth dispersion cancellation in spectral domain optical coherence tomography using numerical intensity correlations.

Mikkel Jensen, Niels Møller Israelsen, Michael Maria, Thomas Feuchter, Adrian Podoleanu, Ole Bang

Open access · goldAbstract 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
1.6field-weighted citation impact, top 18% of its field
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, 27 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Mikkel JensenTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark. mikkje@fotonik.dtu.dk.ORCID 0000-0003-1455-6782
Niels Møller IsraelsenTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark.
Michael MariaNKT Photonics, Birkerød, 3460, Denmark.
Thomas FeuchterNKT Photonics, Birkerød, 3460, Denmark.
Adrian PodoleanuUniversity of Kent, School of Physical Sciences, Canterbury, Kent, CT2 7NZ, England.
Ole BangTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark.
Technical University of Denmark · DKUniversity of Kent · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In ultra-high resolution (UHR-) optical coherence tomography (OCT) group velocity dispersion (GVD) must be corrected for in order to approach the theoretical resolution limit. One approach promises not only compensation, but complete annihilation of even order dispersion effects, and that at all sample depths. This approach has hitherto been demonstrated with an experimentally demanding 'balanced detection' configuration based on using two detectors. We demonstrate intensity correlation (IC) OCT using a conventional spectral domain (SD) UHR-OCT system with a single detector. IC-SD-OCT configurations exhibit cross term ghost images and a reduced axial range, half of that of conventional SD-OCT. We demonstrate that both shortcomings can be removed by applying a generic artefact reduction algorithm and using analytic interferograms. We show the superiority of IC-SD-OCT compared to conventional SD-OCT by showing how IC-SD-OCT is able to image spatial structures behind a strongly dispersive silicon wafer. Finally, we question the resolution enhancement of [Formula: see text] that IC-SD-OCT is often believed to have compared to SD-OCT. We show that this is simply the effect of squaring the reflectivity profile as a natural result of processing the product of two intensity spectra instead of a single spectrum.

Identifiers

PMID29907767
PMCPMC6003914
OpenAlexW2964017757

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.