ArticlePloS one2017
De-warping of images and improved eye tracking for the scanning laser ophthalmoscope.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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.
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.
Who cites it
32 citing papers in PubMed.
- Automated montaging and contrast stretching of adaptive optics ophthalmoscope images.Biomedical optics express · 2026Article
- ƒ(Cell): Software for Reproducible Analysis of Optoretinograms.Translational vision science & technology · 2026Article
- Distribution and dynamics of motile immune cells near the inner limiting membrane in the living human eye.Biomedical optics express · 2025Article
- Quantification of optical lensing by cellular structures in the living human eye.Biomedical optics express · 2025Article
- The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study.Behavior research methods · 2025Article
- Review
- Improved tracking of corneal immune cell dynamics usingBiomedical optics express · 2024Article
- Intervisit Reproducibility of Foveal Cone Density Metrics.Translational vision science & technology · 2024Article
- Substrip-based registration and automatic montaging of adaptive optics retinal images.Biomedical optics express · 2024Article
- The effect of sampling window size on topographical maps of foveal cone density.Frontiers in ophthalmology · 2024Article
- Evolution of adaptive optics retinal imaging [Invited].Biomedical optics express · 2023Review
- Eye tracking: empirical foundations for a minimal reporting guideline.Behavior research methods · 2023Review
- Assessment of binocular fixational eye movements including cyclotorsion with split-field binocular scanning laser ophthalmoscopy.Journal of vision · 2022Article
- Automated Assessment of Photoreceptor Visibility in Adaptive Optics Split-Detection Images Using Edge Detection.Translational vision science & technology · 2022Article
- Cone photoreceptor reflectance variation in the northern tree shrew and thirteen-lined ground squirrel.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- Promises and pitfalls of evaluating photoreceptor-based retinal disease with adaptive optics scanning light ophthalmoscopy (AOSLO).Progress in retinal and eye research · 2021Review
- Automated image processing pipeline for adaptive optics scanning light ophthalmoscopy.Biomedical optics express · 2021Article
- Emulated retinal image capture (ERICA) to test, train and validate processing of retinal images.Scientific reports · 2021Article
- Strip-based digital image registration for distortion minimization and robust eye motion measurement from scanned ophthalmic imaging systems.Biomedical optics express · 2021Article
- Virtually structured detection enables super-resolution ophthalmoscopy of rod and cone photoreceptors in human retina.Quantitative imaging in medicine and surgery · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A limitation of scanning laser ophthalmoscopy (SLO) is that eye movements during the capture of each frame distort the retinal image. Various sophisticated strategies have been devised to ensure that each acquired frame can be mapped quickly and accurately onto a chosen reference frame, but such methods are blind to distortions in the reference frame itself. Here we explore a method to address this limitation in software, and demonstrate its accuracy. We used high-speed (200 fps), high-resolution (~1 μm), flood-based imaging of the human retina with adaptive optics to obtain "ground truth" information on the retinal image and motion of the eye. This information was used to simulate SLO video sequences at 20 fps, allowing us to compare various methods for eye-motion recovery and subsequent minimization of intra-frame distortion. We show that a) a single frame can be near-perfectly recovered with perfect knowledge of intra-frame eye motion; b) eye motion at a given time point within a frame can be accurately recovered by tracking the same strip of tissue across many frames, due to the stochastic symmetry of fixational eye movements. This approach is similar to, and easily adapted from, previously suggested strip-registration approaches; c) quality of frame recovery decreases with amplitude of eye movements, however, the proposed method is affected less by this than other state-of-the-art methods and so offers even greater advantages when fixation is poor. The new method could easily be integrated into existing image processing software, and we provide an example implementation written in Matlab.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.