Evidence map›Paper›PMID 32356845›Full record

ArticleOptics letters2020

Spectrally dependent roll-off in visible-light optical coherence tomography.

Ian Rubinoff, Brian Soetikno, David A Miller, Isabella Rischall, Amani Fawzi, Roman Kuranov, Hao F Zhang

Abstract read
In one paragraph

Article in Optics letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors.

Ian Rubinoff
Brian Soetikno
David A Miller
Isabella Rischall
Amani Fawzi
Roman Kuranov
Hao F Zhang

Funding

Visible-light optical coherence tomography for clinical glaucoma managementR44EY026466 · NEI · OPTICENT, INC. · PI KURANOV, ROMAN · 2018 to 2023
$2.7M
Investigating oxygen metabolism in diabetic retinopathyR01EY026078 · NEI · NORTHWESTERN UNIVERSITY · PI SHEIBANI, NADER, ZHANG, HAO F · 2016 to 2020
$2.3M
Investigating nanoscale neuronal damages in early glaucoma towards clinical optical detectionR01EY029121 · NEI · NORTHWESTERN UNIVERSITY · PI LIU, XIAORONG, ZHANG, HAO F · 2018 to 2021
$2.0M
Functional Retinal Imaging to Monitor Pharmaco-Therapies in Diabetic RetinopathyDP3DK108248 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI FAWZI, AMANI A, ZHANG, HAO F · 2015 to 2015
$1.9M
Mechanisms underlying the formation of the cornea and ocular surface epitheliumR01EY028304 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KUME, TSUTOMU · 2018 to 2021
$1.6M
Visual Sciences T32T32EY025202 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Gregory William Schwartz · 2015 to 2026
$1.4M
NEI NIH HHS R01 EY026078NEI NIH HHS R01 EY028304NEI NIH HHS R01 EY029121NEI NIH HHS R44 EY026466NEI NIH HHS T32 EY025202NIDDK NIH HHS DP3 DK108248
6 · The paper itself

Abstract

Recent development of visible-light optical coherence tomography (vis-OCT) has introduced new applications for noninvasive spectroscopic imaging. However, the measured spectra may be altered by spectrally dependent roll-off (SDR). We formulated a mathematical model for SDR that accounted for nonuniform wavenumber spacing, optical aberrations, and misalignments in the spectrometer. We simulated SDR based on this model and found strong agreement with measurements from a vis-OCT system. We verified that SDR altered spectroscopic measurements of fully oxygenated blood. We corrected these alterations by normalizing each spectrally dependent A-line by the measured SDR of the spectrometer. Our investigations of SDR are critical for informing OCT spectrometer design, alignment, and spectroscopic measurements.

Identifiers

PMID32356845
PMCPMC8194246

What OpenQuestion holds

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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.