Reproducibility in the identification of retinal positions on serial fundus photographs: Theory and limitations

The reproducibility in the identification of locations on the retina from serial fundus photographs depends on the accuracy in the definition of the fovea and optic disc used as reference points. This affects the potential for describing locations, distances, areas and changes in retinal lesions on serial photographs over time.

Authors

Institutions

Publication Details

Journal
Acta Ophthalmologica
Published
2025-07-24
DOI
https://doi.org/10.1111/aos.17566
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reproducibility in the identification of retinal positions on serial fundus photographs: Theory and limitations

Giovanni Ometto, Toke Bek
Acta Ophthalmologica
Retinal Imaging and Analysis
article

Reproducibility in the identification of retinal positions on serial fundus photographs: Theory and limitations

Giovanni Ometto, Toke Bek
article en

Abstract

The reproducibility in the identification of locations on the retina from serial fundus photographs depends on the accuracy in the definition of the fovea and optic disc used as reference points. This affects the potential for describing locations, distances, areas and changes in retinal lesions on serial photographs over time.

Acta OphthalmologicaVol. 104(2)
City, University of London (GB), Aarhus University Hospital (DK)
Openalex Percentile: Top 73%
Retinal Imaging and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.