Evidence map›Paper›PMID 26831383›Full record

ArticleJournal of the Optical Society of America. A, Optics, image science, and vision2015

Fourier phase in Fourier-domain optical coherence tomography.

Shikhar Uttam, Yang Liu

Abstract read
In one paragraph

Article in Journal of the Optical Society of America. A, Optics, image science, and vision, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

2 authors.

Shikhar Uttam
Yang Liu

Funding

Novel Nanoscale Single-Cell Analysis of Exfoliative CytologyR01EB016657 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2013 to 2016
$1.3M
(PQC2)Nanoscale changes in 3D nuclear architecture during breast tumorigenesisR01CA185363 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2014 to 2017
$1.3M
NCI NIH HHS R01 CA185363NCI NIH HHS R01CA185363NIBIB NIH HHS R01 EB016657NIBIB NIH HHS R01EB016657
6 · The paper itself

Abstract

Phase of an electromagnetic wave propagating through a sample-of-interest is well understood in the context of quantitative phase imaging in transmission-mode microscopy. In the past decade, Fourier-domain optical coherence tomography has been used to extend quantitative phase imaging to the reflection-mode. Unlike transmission-mode electromagnetic phase, however, the origin and characteristics of reflection-mode Fourier phase are poorly understood, especially in samples with a slowly varying refractive index. In this paper, the general theory of Fourier phase from first principles is presented, and it is shown that Fourier phase is a joint estimate of subresolution offset and mean spatial frequency of the coherence-gated sample refractive index. It is also shown that both spectral-domain phase microscopy and depth-resolved spatial-domain low-coherence quantitative phase microscopy are special cases of this general theory. Analytical expressions are provided for both, and simulations are presented to explain and support the theoretical results. These results are further used to show how Fourier phase allows the estimation of an axial mean spatial frequency profile of the sample, along with depth-resolved characterization of localized optical density change and sample heterogeneity. Finally, a Fourier phase-based explanation of Doppler optical coherence tomography is also provided.

Indexed as

Fourier AnalysisModels, TheoreticalComputer SimulationImage Interpretation, Computer-AssistedLightScattering, RadiationTomography, Optical Coherence

Identifiers

PMID26831383
PMCPMC4741112

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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.