June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Normative database of cone photoreceptors in Confocal and Calculated-split Adaptive Optics Scanning Laser Ophthalmoscope images
Author Affiliations & Notes
  • Alain Jacot-Guillarmod
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Jelena Potic
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
    School of Medicine, University of Belgrade, Clinic for Eye Diseases, University Clinical Center of Serbia, Serbia
  • Mattia Tomasoni
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Aurélie Navarro
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Fanny Jeunet
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Mikhail Tsaritsyn
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Ciara Bergin
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Adam M Dubis
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
    Institute of Ophthalmology, University College London, United Kingdom
  • Thomas Wolfensberger
    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Department of Ophthalmology, University of Lausanne, Switzerland
  • Footnotes
    Commercial Relationships   Alain Jacot-Guillarmod None; Jelena Potic None; Mattia Tomasoni None; Aurélie Navarro None; Fanny Jeunet None; Mikhail Tsaritsyn None; Ciara Bergin None; Adam Dubis DeepEye Medical GMBH, Boston Micromachines Corp, Code C (Consultant/Contractor), NIHR Biomedical Resource Facility at Moorfields Eye Hospital, UCL Institue of Ophthalmology, Code E (Employment), J109804GB, P143850GB, P143861GB, Code P (Patent); Thomas Wolfensberger None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 400 – F0438. doi:
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      Alain Jacot-Guillarmod, Jelena Potic, Mattia Tomasoni, Aurélie Navarro, Fanny Jeunet, Mikhail Tsaritsyn, Ciara Bergin, Adam M Dubis, Thomas Wolfensberger; Normative database of cone photoreceptors in Confocal and Calculated-split Adaptive Optics Scanning Laser Ophthalmoscope images. Invest. Ophthalmol. Vis. Sci. 2022;63(7):400 – F0438.

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

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Abstract

Purpose : Characterizing the photoreceptor mosaic morphology is essential to understand the basis of vision in normal subjects and to detect disease. A novel technique to visualize these cells in vivo is through an Adaptive Optics Scanning Laser Ophthalmoscope (AOSLO). After visualization of these cells, the next challenges is the development of robust, accurate, and automated cell detection strategies. This is followed by the challenge of defining the normal parameters of cone density, thereby allowing more precise and accurate detection of pathological anomalies. This project seeks to identify the correct combination of cell detection strategies to build and annotate a normative database.

Methods : A bespoke BMC Apaeros built AOSLO was used. Images were acquired using 1.5×1.5° FOV at 49 locations in 35 healthy subjects. Images were stabilized and averaged using BMC’s proprietary AOImageProcessing software. Two cell detection strategies were used, depending on the eccentricity. For foveal and parafoveal regions (0° to 3°), an original intensity-based image analysis method was developed, which we called Automatic Adaptive Thresholding and Maxima Search (ATMS). To more peripherical regions (4° to 10°), a recently published Deep Learning method was applied (without retraining) (MDRNN, by Davidson et al., 2018).

Results : A normative database of cone density was built in all four cardinal meridians from 0° to 10° eccentricities, currently comprising 35 subjects divided into 3 groups defined as [age range; Male/Female; mean axial length +/- stdev]. Group 1 - 20 to 35; 4/7; 25.09 +/- 1.24; group 2 - 36 to 50; 4/9; 23.91 +/- 1.15; group 3 - 51 to 65; 2/9; 23.67 +/- 0.87. Cone density estimates were consistent with measurements reported in other normative databases (e.g. Chang et al., 2013, Woog et al., 2018).

Conclusions : This normative database of cone density was created using a pipeline based on a combination of cell detection strategies optimized to be effective at different eccentricities, which included an original algorithm for automatic cone count in the fovea. This normative database offers support for the stratified analysis of the relationship between (several) eye phenotypes and cone photoreceptor density. Leveraging our automatic method, the database will incrementally grow through consenting patients at our hospital and through cooperations with other research groups.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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