ArticleBiomedical optics express2020
High-resolution, ultrafast, wide-field retinal eye-tracking for enhanced quantification of fixational and saccadic motion.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed, 21 citations in OpenAlex.
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- Microsaccades Tracking by Secondary Speckle Pattern Analysis.Journal of biophotonics · 2025Article
- The best fixation target revisited: New insights from retinal eye tracking.Behavior research methods · 2025Article
- Do eye trackers estimate eyeball rotation? The relationship between tracked eye image feature and estimated saccadic waveform.Behavior research methods · 2025Article
- Optical correction in excised cataractous crystalline lenses by using wavefront shaping techniques.Biomedical optics express · 2025Article
- Eye tracker calibration: How well can humans refixate a target?Behavior research methods · 2024Article
- In vivo identification of the retinal layer containing photopigments in OCT images through correlation with two-photon psychophysics.Scientific reports · 2024Article
- Head stabilization apparatus for high-resolution ophthalmic imaging.Applied optics · 2024Article
- Eye tracking: empirical foundations for a minimal reporting guideline.Behavior research methods · 2023Review
- Extraction of phase-based optoretinograms (ORG) from serial B-scans acquired over tens of seconds by mouse retinal raster scanning OCT system.Biomedical optics express · 2021Article
- Temporal phase evolution OCT for measurement of tissue deformation in the human retinaBiomedical optics express · 2021Article
- Whole anterior segment and retinal swept source OCT for comprehensive ocular screening.Biomedical optics express · 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
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce a novel, noninvasive retinal eye-tracking system capable of detecting eye displacements with an angular resolution of 0.039 arcmin and a maximum velocity of 300°/s across an 8° span. Our system is designed based on a confocal retinal imaging module similar to a scanning laser ophthalmoscope. It utilizes a 2D MEMS scanner ensuring high image frame acquisition frequencies up to 1.24 kHz. In contrast with leading eye-tracking technology, we measure the eye displacements via the collection of the observed spatial excursions for all the times corresponding a full acquisition cycle, thus obviating the need for both a baseline reference frame and absolute spatial calibration. Using this approach, we demonstrate the precise measurement of eye movements with magnitudes exceeding the spatial extent of a single frame, which is not possible using existing image-based retinal trackers. We describe our retinal tracker, tracking algorithms and assess the performance of our system by using programmed artificial eye movements. We also demonstrate the clinical capabilities of our system with
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.