SLOctolyzer: Fully Automatic Analysis Toolkit for Segmentation and Feature Extracting in Scanning Laser Ophthalmoscopy Images.

Journal: Translational vision science & technology
PMID: 39514218

Abstract

PURPOSE: The purpose of this study was to introduce SLOctolyzer: an open-source analysis toolkit for en face retinal vessels in infrared reflectance scanning laser ophthalmoscopy (SLO) images.

Authors

  • Jamie Burke
    School of Mathematics, University of Edinburgh, Edinburgh, UK.
  • Samuel Gibbon
    Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, UK. Electronic address: samuel.gibbon@gmail.com.
  • Justin Engelmann
    School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Adam Threlfall
    Robert O Curle Ophthalmology Suite, Institute for Regeneration and Repair, University of Edinburgh, UK.
  • Ylenia Giarratano
    Centre for Medical Informatics, Usher Institute, University of Edinburgh, 9 Little France Road, Edinburgh, EH16 4UX, UK.
  • Charlene Hamid
    Clinical Research Facility and Imaging, University of Edinburgh, Edinburgh, UK.
  • Stuart King
    School of Mathematics, University of Edinburgh, Edinburgh, UK.
  • Ian J C MacCormick
  • Thomas J MacGillivray
    Centre for Clinical Brain Sciences, Edinburgh, UK.

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