Evidence map›Paper›PMID 30319923›Full record

ArticleBiomedical optics express2018

Determination of confocal profile and curved focal plane for OCT mapping of the attenuation coefficient.

Sabina Stefan, Ki-Soo Jeong, Collin Polucha, Nikos Tapinos, Steven A Toms, Jonghwan Lee

Abstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  10. [Progress of quantitative intravascular optical coherence tomography].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Review
  11. Article
  12. Biomedical optics express · 2019
    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.

Sabina StefanCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island, USA.
Ki-Soo JeongCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island, USA.
Collin PoluchaCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island, USA.
Nikos TapinosWarren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Steven A TomsWarren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Jonghwan LeeCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island, USA.

Funding

Microscopic imaging of neuro-capillary coupling in brain cortexR00EB014879 · NIBIB · BROWN UNIVERSITY · PI LEE, JONGHWAN · 2016 to 2018
$742k
NIBIB NIH HHS R00 EB014879
6 · The paper itself

Abstract

The attenuation coefficient has proven to be a useful tool in numerous biological applications, but accurate calculation is dependent on the characterization of the confocal effect. This study presents a method to precisely determine the confocal effect and its focal plane within a sample by examining the ratio of two optical coherence tomography (OCT) images. The method can be employed to produce a single-value estimate, or a 2D map of the focal plane accounting for the curvature or tilt within the sample. Furthermore, this method is applicable to data obtained with both high numerical aperture (NA) and low-NA lenses, thereby furthering the applicability of the attenuation coefficient to high-NA OCT data. We test and validate this method using standard samples of Intralipid 20% and 5%, improving the accuracy to 99% from 65% compared to the traditional method and preliminarily show applicability to real biological data of glioblastoma acquired

Identifiers

PMID30319923
PMCPMC6179411

What OpenQuestion holds

Textmetadata
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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.