December 2023
Volume 23, Issue 15
Open Access
Optica Fall Vision Meeting Abstract  |   December 2023
Poster Session I: LissEYEjous Tracker - precise fundus tracking device based on ultrafast Lissajous scanning
Author Affiliations
  • Maciej Marcin Bartuzel
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
    Center for Human Ophthalmic Imaging Research (CHOIR), UC Davis Eye Center, Sacramento, CA 95817, USA
  • Ewelina Pijewska
    Center for Human Ophthalmic Imaging Research (CHOIR), UC Davis Eye Center, Sacramento, CA 95817, USA
    EyePOD Imaging Lab, Dept. of Cell Biology and Human Anatomy, UC Davis, Davis, CA 95616, USA.
  • Krzysztof Dalasinski
    Inoko Vision Ltd., Mickiewicza 7/17, 87-100 Torun, Poland
  • Szymon Tamborski
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
  • Ravi S Jonnal
    Center for Human Ophthalmic Imaging Research (CHOIR), UC Davis Eye Center, Sacramento, CA 95817, USA
  • Robert J Zawadzki
    Center for Human Ophthalmic Imaging Research (CHOIR), UC Davis Eye Center, Sacramento, CA 95817, USA
    EyePOD Imaging Lab, Dept. of Cell Biology and Human Anatomy, UC Davis, Davis, CA 95616, USA
  • Maciej Szkulmowski
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
Journal of Vision December 2023, Vol.23, 40. doi:https://doi.org/10.1167/jov.23.15.40
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      Maciej Marcin Bartuzel, Ewelina Pijewska, Krzysztof Dalasinski, Szymon Tamborski, Ravi S Jonnal, Robert J Zawadzki, Maciej Szkulmowski; Poster Session I: LissEYEjous Tracker - precise fundus tracking device based on ultrafast Lissajous scanning. Journal of Vision 2023;23(15):40. https://doi.org/10.1167/jov.23.15.40.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Retinal eye tracking has emerged as a promising alternative to conventional video-based trackers, offering direct access to retinal coordinates with refined spatial and temporal resolutions. These attributes make them attractive for applications ranging from image stabilization in advanced ophthalmic imaging to identifying biomarkers of neurological or ophthalmic disorders that affect eye motility. Existing retinal tracking method however face challenges related to reliance on reference frames and non-uniform sampling either in space or time. In this work we present a new approach for retinal tracking, which is based on imaging small retinal patches (~1.5—3°) using self-repeating Lissajous scanning patterns. Pattern repetition rates close to 4kHz are achieved with an optical design that employs two MEMS microscanners with closely matching resonant frequencies, working in mutually perpendicular dimensions. Several examples of fundus images acquired with different Lissajous patterns are presented. Based on this, eye trajectories may be extracted. Future works will further investigate tracking resolution and dependence on Lissajous pattern spatial density and repetition rate.

Footnotes
 Funding: Funding: National Science Centre, Poland (2023/48/C/ST7/00164); National Institutes of Health (R01-EY-033532, R01-EY-031098, R01-EY-026556, P30-EY-183 012576)
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