Evidence map›Paper›PMID 33996234›Full record

ArticleBiomedical optics express2021

Strip-based digital image registration for distortion minimization and robust eye motion measurement from scanned ophthalmic imaging systems.

Min Zhang, Elena Gofas-Salas, Bianca T Leonard, Yuhua Rui, Valerie C Snyder, Hope M Reecher, Pedro Mecê, Ethan A Rossi

Abstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Volumetric montaging of optical coherence tomography in human retinas.bioRxiv : the preprint server for biology · 2026
    Article
  3. Brain communications · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

8 authors.

Min ZhangDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Elena Gofas-SalasDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0003-1975-0373
Bianca T LeonardDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Yuhua RuiDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Valerie C SnyderDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Hope M ReecherDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Pedro MecêDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0001-7685-3999
Ethan A RossiDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0003-3210-0551

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
Distinguishing normal aging from age-related macular degeneration at the level of single cells in the living human eyeR01EY030517 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSI, ETHAN A · 2020 to 2024
$2.4M
NEI NIH HHS P30 EY008098NEI NIH HHS R01 EY030517
6 · The paper itself

Abstract

Retinal image-based eye motion measurement from scanned ophthalmic imaging systems, such as scanning laser ophthalmoscopy, has allowed for precise real-time eye tracking at sub-micron resolution. However, the constraints of real-time tracking result in a high error tolerance that is detrimental for some eye motion measurement and imaging applications. We show here that eye motion can be extracted from image sequences when these constraints are lifted, and all data is available at the time of registration. Our approach identifies and discards distorted frames, detects coarse motion to generate a synthetic reference frame and then uses it for fine scale motion tracking with improved sensitivity over a larger area. We demonstrate its application here to tracking scanning laser ophthalmoscopy (TSLO) and adaptive optics scanning light ophthalmoscopy (AOSLO), and show that it can successfully capture most of the eye motion across each image sequence, leaving only between 0.1-3.4% of non-blink frames untracked, while simultaneously minimizing image distortions induced from eye motion. These improvements will facilitate precise measurement of fixational eye movements (FEMs) in TSLO and longitudinal tracking of individual cells in AOSLO.

Identifiers

PMID33996234
PMCPMC8086453

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.