Evidence map›Paper›PMID 31528657›Full record

ArticleNeurophotonics2019

Temporal speckle-averaging of optical coherence tomography volumes for

Pengfei Zhang, Eric B Miller, Suman K Manna, Ratheesh K Meleppat, Edward N Pugh, Robert J Zawadzki

Abstract read
In one paragraph

Article in Neurophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in ophthalmology · 2025
    Review
  13. Article
  14. Neurophotonics · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. bioRxiv : the preprint server for biology · 2024
    Article
  20. 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

6 authors.

Pengfei ZhangUniversity of California Davis, Department of Cell Biology and Human Anatomy, UC Davis Eye-Pod Small Animal Ocular Imaging Laboratory, Davis, California, United States.ORCID https://orcid.org/0000-0003-4437-8112
Eric B MillerUniversity of California Davis, Center for Neuroscience, Davis, California, United States.
Suman K MannaUniversity of California Davis, Department of Cell Biology and Human Anatomy, UC Davis Eye-Pod Small Animal Ocular Imaging Laboratory, Davis, California, United States.
Ratheesh K MeleppatUniversity of California Davis, Department of Cell Biology and Human Anatomy, UC Davis Eye-Pod Small Animal Ocular Imaging Laboratory, Davis, California, United States.ORCID https://orcid.org/0000-0003-0240-9419
Edward N PughUniversity of California Davis, Department of Cell Biology and Human Anatomy, UC Davis Eye-Pod Small Animal Ocular Imaging Laboratory, Davis, California, United States.
Robert J ZawadzkiUniversity of California Davis, Department of Cell Biology and Human Anatomy, UC Davis Eye-Pod Small Animal Ocular Imaging Laboratory, Davis, California, United States.ORCID https://orcid.org/0000-0002-9574-156X

Funding

VISION RESEARCH CORE GRANTP30EY012576 · NEI · UNIVERSITY OF CALIFORNIA DAVIS · PI MARIE E BURNS · 1999 to 2026
$18.9M
MECHANISMS OF VISUAL TRANSDUCTIONR01EY002660 · NEI · UNIVERSITY OF PENNSYLVANIA · PI PUGH, EDWARD N · 1985 to 2021
$11.4M
Vision Science Training Program: Cornea to CortexT32EY015387 · NEI · UNIVERSITY OF CALIFORNIA DAVIS · PI MARIE E BURNS · 2003 to 2026
$4.8M
Theranostics of Photoreceptor-RPE-Choroid Neurovascular Unit in Mouse Models of Eye DiseasesR01EY026556 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Robert J Zawadzki · 2017 to 2026
$4.1M
Microglial Activation during Photoreceptor DegenerationR01EY024320 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BURNS, MARIE E · 2015 to 2024
$3.7M
NEI NIH HHS P30 EY012576NEI NIH HHS R01 EY002660NEI NIH HHS R01 EY024320NEI NIH HHS R01 EY026556NEI NIH HHS T32 EY015387
6 · The paper itself

Abstract

It has been recently demonstrated that structures corresponding to the cell bodies of highly transparent cells in the retinal ganglion cell layer could be visualized noninvasively in the living human eye by optical coherence tomography (OCT) via temporal averaging. Inspired by this development, we explored the application of volumetric temporal averaging in mice, which are important models for studying human retinal diseases and therapeutic interventions. A general framework of temporal speckle-averaging (TSA) of OCT and optical coherence tomography angiography (OCTA) is presented and applied to mouse retinal volumetric data. Based on the image analysis, the eyes of mice under anesthesia exhibit only minor motions, corresponding to lateral displacements of a few micrometers and rotations of a fraction of 1 deg. Moreover, due to reduced eye movements under anesthesia, there is a negligible amount of motion artifacts within the volumes that need to be corrected to achieve volume coregistration. In addition, the relatively good optical quality of the mouse ocular media allows for cellular-resolution imaging without adaptive optics (AO), greatly simplifying the experimental system, making the proposed framework feasible for large studies. The TSA OCT and TSA OCTA results provide rich information about new structures previously not visualized in living mice with non-AO-OCT. The mechanism of TSA relies on improving signal-to-noise ratio as well as efficient suppression of speckle contrast due to temporal decorrelation of the speckle patterns, enabling full utilization of the high volumetric resolution offered by OCT and OCTA.

Indexed as

anesthetized animalFiji ImageJmultistack registrationoptical coherence tomographyoptical coherence tomography angiographyvolumetric averaging

Identifiers

PMID31528657
PMCPMC6732665

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.