Evidence map›Paper›PMID 28257458›Full record

ArticlePloS one2017

High-speed adaptive optics line scan confocal retinal imaging for human eye.

Jing Lu, Boyu Gu, Xiaolin Wang, Yuhua Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Adaptive Optics Imaging of Inherited Retinal Disease.Cold Spring Harbor perspectives in medicine · 2023
    Review
  3. Article
  4. Hybrid FPGA-CPU pupil tracker.Biomedical optics express · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. NoninvasiveBiomedical optics express · 2018
    Article
  14. Article
  15. Photoreceptor-Based Biomarkers in AOSLO Retinal Imaging.Investigative ophthalmology & visual science · 2017
    Review
  16. 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

4 authors at 1 institution in 1 country.

Jing LuDepartment of Ophthalmology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Boyu GuDepartment of Ophthalmology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Xiaolin WangDepartment of Ophthalmology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Yuhua ZhangDepartment of Ophthalmology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
University of Alabama at Birmingham · US

Funding

Visual Phenotyping CoreP30EY003039 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAWRENCE C SINCICH · 1985 to 2026
$16.9M
In vivo Ultrastructure of Chorioretinal DiseaseR01EY024378 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZHANG, YUHUA LIANG · 2015 to 2023
$2.9M
Adaptive optics parallel confocal scanning ophthalmoscope (AO-PCSO)R21EY021903 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZHANG, YUHUA LIANG · 2011 to 2012
$378k
NEI NIH HHS P30 EY003039NEI NIH HHS R01 EY024378NEI NIH HHS R21 EY021903
6 · The paper itself

Abstract

purposeContinuous and rapid eye movement causes significant intraframe distortion in adaptive optics high resolution retinal imaging. To minimize this artifact, we developed a high speed adaptive optics line scan confocal retinal imaging system.

methodsA high speed line camera was employed to acquire retinal image and custom adaptive optics was developed to compensate the wave aberration of the human eye's optics. The spatial resolution and signal to noise ratio were assessed in model eye and in living human eye. The improvement of imaging fidelity was estimated by reduction of intra-frame distortion of retinal images acquired in the living human eyes with frame rates at 30 frames/second (FPS), 100 FPS, and 200 FPS.

resultsThe device produced retinal image with cellular level resolution at 200 FPS with a digitization of 512×512 pixels/frame in the living human eye. Cone photoreceptors in the central fovea and rod photoreceptors near the fovea were resolved in three human subjects in normal chorioretinal health. Compared with retinal images acquired at 30 FPS, the intra-frame distortion in images taken at 200 FPS was reduced by 50.9% to 79.7%.

conclusionsWe demonstrated the feasibility of acquiring high resolution retinal images in the living human eye at a speed that minimizes retinal motion artifact. This device may facilitate research involving subjects with nystagmus or unsteady fixation due to central vision loss.

Indexed as

Diagnostic ImagingEyeEye MovementsHumansLasersOphthalmoscopyOptics and PhotonicsRetinaRetinal Cone Photoreceptor Cells

Identifiers

PMID28257458
PMCPMC5336222
OpenAlexW2593179442

What OpenQuestion holds

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LicenceCC BY
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.