Evidence map›Paper›PMID 27992630›Full record

ArticleJournal of biomedical optics2016

In vivo super-resolution retinal imaging through virtually structured detection.

Changgeng Liu, Yanan Zhi, Benquan Wang, Damber Thapa, Yanjun Chen, Minhaj Alam, Yiming Lu, Xincheng Yao

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2016. 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. Review
  2. Article
  3. Review
  4. Functional optical coherence tomography of retinal photoreceptors.Experimental biology and medicine (Maywood, N.J.) · 2018
    Review
  5. Article
  6. Proceedings of SPIE--the International Society for Optical Engineering
    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

8 authors.

Changgeng LiuUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Yanan ZhiUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Benquan WangUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Damber ThapaUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Yanjun ChenUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Minhaj AlamUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Yiming LuUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States.
Xincheng YaoUniversity of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United StatesbUniversity of Illinois at Chicago, Department of Ophthalmology and Visual Sciences, 1905 West Taylor Street, Chicago, Illinois 60612, United States.

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MCANANY, JAMES JASON · 1985 to 2025
$14.8M
Functional imaging of retinal photoreceptorsR01EY023522 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YAO, XINCHENG · 2014 to 2024
$3.5M
Super-resolution ophthalmoscopy for in vivo retinal imagingR01EY024628 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YAO, XINCHENG · 2014 to 2016
$1.1M
NEI NIH HHS P30 EY001792NEI NIH HHS R01 EY023522NEI NIH HHS R01 EY024628
6 · The paper itself

Abstract

High resolution is important for sensitive detection of subtle distortions of retinal morphology at an early stage of eye diseases. We demonstrate virtually structured detection (VSD) as a feasible method to achieve in vivo super-resolution ophthalmoscopy. A line-scanning strategy was employed to achieve a super-resolution imaging speed up to 127 ?? frames / s with a frame size of 512 × 512 ?? pixels . The proof-of-concept experiment was performed on anesthetized frogs. VSD-based super-resolution images reveal individual photoreceptors and nerve fiber bundles unambiguously. Both image contrast and signal-to-noise ratio are significantly improved due to the VSD implementation.

Indexed as

AnimalsAnuraEquipment DesignHumansMicroscopyOphthalmoscopyRetinaSignal-To-Noise Ratio

Identifiers

PMID27992630
PMCPMC5167560

What OpenQuestion holds

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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.