Evidence map›Paper›PMID 39343797›Full record

ArticleScientific reports2024

In vivo, contactless, cellular resolution imaging of the human cornea with Powell lens based line field OCT.

Keyu Chen, Nima Abbasi, Alexander Wong, Kostadinka Bizheva

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

4 authors.

Keyu ChenDepartment of Physics and Astronomy, University of Waterloo, Waterloo, Canada.
Nima AbbasiSystems Design Engineering Department, University of Waterloo, Waterloo, Canada.
Alexander WongSystems Design Engineering Department, University of Waterloo, Waterloo, Canada.
Kostadinka BizhevaDepartment of Physics and Astronomy, University of Waterloo, Waterloo, Canada. kbizheva@uwaterloo.ca.

Funding

Canada Institutes of Health Research 202104PJT-461005Natural Sciences and Engineering Research Council of Canada RTI-2021-00780
6 · The paper itself

Abstract

Potentially blinding corneal diseases alter the morphology of the human cornea. At the early stages of disease development, these changes occur at the cellular level. The ability to visualize and quantify such changes can lead to early diagnostics of corneal pathologies, which is pivotal for the long-term preservation of vision. Here we present a Powell Lens-based Line-Field Optical Coherence Tomography system that combines high spatial resolution (2.4 μm × 2.2 μm × 1.7 μm (x × y × z)) in biological tissue, sufficient to resolve individual cells, high sensitivity (90.5 dB), sufficient to image the semi-transparent human cornea, and fast image acquisition rate (~ 2,400 fps), sufficient to suppress most involuntary eye motion artifacts and allow for contactless, in-vivo imaging of the cellular structure of the human cornea. Volumetric images acquired in-vivo from corneas of healthy subjects show epithelial, endothelial and keratocytes cells, as well as sub-basal and stromal nerves. The system's high axial resolution also allows for volumetric morphometry of the corneal endothelium, Descemet's membrane and the pre-Descemet's (Dua) layer.

Indexed as

CorneaTomography, Optical CoherenceHumansCorneaOphthalmic imagingOptical coherence tomography

Identifiers

PMID39343797
PMCPMC11439927

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.