June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
LissEYEjous - retinal eye tracking based on fast Lissajous scanning design with two MEMS microscanners
Author Affiliations & Notes
  • Maciej M Bartuzel
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
    Vision Science and Advanced Retinal Imaging Laboratory, Dept. of Ophthalmology & Vision Science, University of California Davis, 4860 Y Street, Suite 2400, Sacramento, California, United States
  • Krzysztof Dalasinski
    Inoko Vision Ltd., Mickiewicza 7/17, 87-100 Torun, Poland
  • Krystian Wróbel
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
  • Szymon Tamborski
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
  • Michal Meina
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
  • Patrycjusz Stremplewski
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
  • Maciej Szkulmowski
    Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun, Poland
  • Footnotes
    Commercial Relationships   Maciej Bartuzel None; Krzysztof Dalasinski Inoko Vision Ltd., Code E (Employment); Krystian Wróbel None; Szymon Tamborski None; Michal Meina None; Patrycjusz Stremplewski Inoko Vision Ltd., Code E (Employment); Maciej Szkulmowski Inoko Vision Ltd., Code O (Owner)
  • Footnotes
    Support  National Science Centre, Poland, grant No. 2018/31/B/ST7/03138, Fundacja na rzecz Nauki Polskiej 10.13039/501100001870 (POIR.04.04.00-00-2070/16-00), NEI R01 EY026556, NEI R01 EY033532
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 5030. doi:
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      Maciej M Bartuzel, Krzysztof Dalasinski, Krystian Wróbel, Szymon Tamborski, Michal Meina, Patrycjusz Stremplewski, Maciej Szkulmowski; LissEYEjous - retinal eye tracking based on fast Lissajous scanning design with two MEMS microscanners. Invest. Ophthalmol. Vis. Sci. 2023;64(8):5030.

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

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Abstract

Purpose : Motion of the human eye is inevitable. It poses challenges for the imaging devices causing optical blur or distortions, but it also carries important information about individual’s health as its characteristics tend to be altered, e.g., in neurodegenerative diseases. Human eye tracking is desirable in distinct research fields and the demands for the precision and speed increase as the technology evolves. Here we present a new, proof-of-concept design of the retinal eye tracking device based on adjustable Lissajous scanning patterns.

Methods : To track the human eye we acquire small retinal images (~1.5°×1.5°) and correlate them. In our original tracker based on confocal scanning system, we used a two-dimensional (2D) MEMS scanner with the slow axis frequency ~610-620 Hz and the fast axis frequency ~20 kHz. This large difference of frequencies between the two axes inherently leads to much lower spatial sampling along the slow axis. In the new approach this problem is eliminated by using two MEMS scanners. This allows to bring the scanning frequencies closer to each other and consequently produce varying scanning patterns with both axes equally sampled, while maintaining ultrafast framerates.

Results : Rendered design of our tracker and the laboratory prototype are shown in Figure. The imaging capabilities of the device are proved on 4 healthy volunteers using 4 different scanning patterns, including the one used in our original 2D-MEMS design. Representative retinal images from one of our subjects are also shown in Figure. These images can be fed into our previously presented tracking algorithms to retrieve motion of the human retina.

Conclusions : We presented a working proof-of-concept retinal tracker based on two MEMS scanners. This design solves the problem of different spatial sampling along the two scanning axes, present in our previous design. Further work is needed to test this solution and find the optimum between the acquisition speed and the density of spatial sampling.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Left side of the Figure: rendered design of the LissEYEjous tracker (top) and the current laboratory prototype (bottom). Right side of the figure: each row shows three representative examples of the retinal images (~1.5°×1.5°) acquired with indicated framerates and different scanning patterns shown on the right. Cross visible in the top three patterns is an artifact, which if needed, will be eliminated in the future.

Left side of the Figure: rendered design of the LissEYEjous tracker (top) and the current laboratory prototype (bottom). Right side of the figure: each row shows three representative examples of the retinal images (~1.5°×1.5°) acquired with indicated framerates and different scanning patterns shown on the right. Cross visible in the top three patterns is an artifact, which if needed, will be eliminated in the future.

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