June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
In-vivo cone photoreceptor topography of the normal human foveola
Author Affiliations & Notes
  • Julius Ameln
    Department of Ophthalmology, Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Jenny Witten
    Department of Ophthalmology, Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Aleksandr Gutnikov
    Department of Ophthalmology, Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Veronika Lukyanova
    Department of Ophthalmology, Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Frank G Holz
    Department of Ophthalmology, Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Wolf Harmening
    Department of Ophthalmology, Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Footnotes
    Commercial Relationships   Julius Ameln None; Jenny Witten None; Aleksandr Gutnikov None; Veronika Lukyanova None; Frank Holz Heidelberg Engineering, Code C (Consultant/Contractor), Zeiss, Code C (Consultant/Contractor), Novartis, Code C (Consultant/Contractor), Bayer, Code C (Consultant/Contractor), Boehringer-Ingelheim, Code C (Consultant/Contractor), Janssen, Code C (Consultant/Contractor), Pixium Vision , Code C (Consultant/Contractor), GRADE Reading Center, Code O (Owner); Wolf Harmening None
  • Footnotes
    Support  German Research Foundation, HA5323/6-1 (within the DFG SPP2127), and HA5323/8-1 (DFG-ANR joint program)
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 1040. doi:
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      Julius Ameln, Jenny Witten, Aleksandr Gutnikov, Veronika Lukyanova, Frank G Holz, Wolf Harmening; In-vivo cone photoreceptor topography of the normal human foveola. Invest. Ophthalmol. Vis. Sci. 2023;64(8):1040.

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

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Abstract

Purpose : To quantify cone photoreceptor topography of the normal human foveola in-vivo.

Methods : The foveal centers of both eyes of 29 participants in retinal health (27 ± 7 yrs / 19 female) were imaged with adaptive optics scanning laser ophthalmoscopy (711 or 788 nm center imaging wavelength, 0.85-degree field of view). Cone locations in image montages covering the central ~2 deg of visual angle were marked using custom software. Two-dimensional cone density maps were computed via the Voronoi area of the closest 150 cones to each image pixel. The anatomical center of the foveola, or 0 eccentricity, was defined at the cone density centroid (CDC), i.e. the weighted center of the top 20% cone density contour. Cone density profiles were analyzed as radial averages and in 10-deg sectors around the horizontal and vertical meridians. The absolute and normalized individual and group profiles of the log transformed densities, Dlog, were fitted by a three-parameter function of log transformed eccentricity, E: Dlog(Elog ) = a*e^(-((Elog-b)/c)2).

Results : Across all participants, cone density at the CDC was between 10,570 and 17,000 cones per deg2, dropping to a third at about 1 deg eccentricity, on average. Meridional cone profiles broadly followed a sigmoid, reaching maximum slope at about 11 arcmin eccentricity. Average best fit parameters were ah = -1.38, bh = 7.35 and ch = 1.77 and av = -1.7, bv = 7.72 and cv = 2.09 for the horizontal and vertical normalized profiles, respectively. Within the central 0.5 deg, vertical profiles were significantly steeper than horizontal profiles (p < 0.01, paired t-test). There was a non-significant trend towards ~2 % higher densities in the temporal compared to nasal foveal sector. All metrics were highly correlated between fellow eyes.

Conclusions : The relative cone photoreceptor density profile was, despite large interindividual differences in absolute numbers, highly similar between individuals. A three-parameter equation of cone density as function of eccentricity was able to model cone density for the central 2 deg retina within 3.3 % and 2.7 % for horizontal and vertical profiles, respectively. Such a model will be useful to investigate normal foveal anatomy and development, for intra- and extrapolation in cases of non-resolved imagery and for benchmarking topographical changes in retinal diseases.

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

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