Evidence map›Paper›PMID 26863649›Full record

ArticleIEEE transactions on medical imaging2016

Automated Real-Time Conjunctival Microvasculature Image Stabilization.

Anthony E Felder, Cesare Mercurio, Justin Wanek, Rashid Ansari, Mahnaz Shahidi

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Conjunctival Venular Hemodynamic Biomarkers in Glaucoma.Translational vision science & technology · 2025
    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

5 authors at 2 institutions in 1 country.

Anthony E Felder
Cesare Mercurio
Justin Wanek
Rashid Ansari
Mahnaz Shahidi
University of Illinois Chicago · USMotorola (United States) · US

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MCANANY, JAMES JASON · 1985 to 2025
$14.8M
Ocular Biomarkers of Microvascular, Neural and Metabolic Function in DiabetesDP3DK104393 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHAHIDI, MAHNAZ · 2014 to 2014
$1.5M
NEI NIH HHS P30 EY001792NIDDK NIH HHS DP3 DK104393
6 · The paper itself

Abstract

The bulbar conjunctiva is a thin, vascularized membrane covering the sclera of the eye. Non-invasive imaging techniques have been utilized to assess the conjunctival vasculature as a means of studying microcirculatory hemodynamics. However, eye motion often confounds quantification of these hemodynamic properties. In the current study, we present a novel optical imaging system for automated stabilization of conjunctival microvasculature images by real-time eye motion tracking and realignment of the optical path. The ability of the system to stabilize conjunctival images acquired over time by reducing image displacements and maintaining the imaging area was demonstrated.

Indexed as

MicrovesselsAutomationConjunctivaMicrocirculation

Identifiers

PMID26863649
PMCPMC5745197
OpenAlexW2344208183

What OpenQuestion holds

Textmetadata
LicenceTDM
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.