Evidence map›Paper›PMID 31259062›Full record

ArticleBiomedical optics express2019

Improving visible light OCT of the human retina with rapid spectral shaping and axial tracking.

Tingwei Zhang, Aaron M Kho, Vivek J Srinivasan

Abstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  11. American journal of ophthalmology case reports · 2024
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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

3 authors.

Tingwei ZhangBiomedical Engineering Department, University of California Davis, Davis, California, 95616, USA.
Aaron M KhoBiomedical Engineering Department, University of California Davis, Davis, California, 95616, USA.
Vivek J SrinivasanBiomedical Engineering Department, University of California Davis, Davis, California, 95616, USA.

Funding

Vision Science Training Program: Cornea to CortexT32EY015387 · NEI · UNIVERSITY OF CALIFORNIA DAVIS · PI MARIE E BURNS · 2003 to 2026
$4.8M
OCULAR SURFACE INJURY: INFLAMMATORY CASCADE AND HEALING OF CORNEAL WOUNDSR01EY018239 · NEI · BAYLOR COLLEGE OF MEDICINE · PI BURNS, ALAN R, RUMBAUT, ROLANDO E · 2008 to 2020
$3.7M
Structural and functional tests of ganglion cell damage in glaucomaR01EY030361 · NEI · STANFORD UNIVERSITY · PI GOLDBERG, JEFFREY L, NORCIA, ANTHONY M · 2019 to 2022
$2.1M
Imaging Neuronal and Capillary Dysfunction Deep in the Rodent Brain in vivo Using 1700 NM Optical Coherence Microscopy and Tracer-Based KineticsR01NS094681 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2015 to 2019
$1.6M
Development, Validation and Application of Metabolic Imaging in GlaucomaR01EY028287 · NEI · STANFORD UNIVERSITY · PI DUBRA, ALFREDO, GOLDBERG, JEFFREY L · 2017 to 2019
$1.1M
Interferometric Near-Infrared Spectroscopy for Tissue Flowmetry and OximetryR21NS105043 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2017 to 2018
$432k
Improving penetration depth and spatial resolution for in vivo deep imaging of mouse brain using 2200 nm Optical Coherence MicroscopyR03EB023591 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2017 to 2018
$157k
NEI NIH HHS R01 EY028287NEI NIH HHS T32 EY015387NIBIB NIH HHS R03 EB023591NINDS NIH HHS R01 NS094681NINDS NIH HHS R21 NS105043
6 · The paper itself

Abstract

Visible light optical coherence tomography (OCT) theoretically provides finer axial resolution than near-infrared OCT for a given wavelength bandwidth. To realize this potential in the human retina

Identifiers

PMID31259062
PMCPMC6583340

What OpenQuestion holds

Textmetadata
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.