Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Imaging the multi-spectral autofluorescence (AF) variance of healthy aging retinal pigmented epithelial (RPE) cells via adaptive optics ophthalmoscopy
Author Affiliations & Notes
  • Daniel M.W. Lee
    Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, Pennsylvania, United States
  • Min Zhang
    Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Valerie C. Snyder
    Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Ethan A Rossi
    Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
    Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, Pennsylvania, United States
  • Footnotes
    Commercial Relationships   Daniel Lee None; Min Zhang None; Valerie Snyder None; Ethan Rossi University of Rochester, Code P (Patent)
  • Footnotes
    Support  National Eye Institute R01EY030517, NIH CORE Grant P30 EY08098
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 4942. doi:
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    • Get Citation

      Daniel M.W. Lee, Min Zhang, Valerie C. Snyder, Ethan A Rossi; Imaging the multi-spectral autofluorescence (AF) variance of healthy aging retinal pigmented epithelial (RPE) cells via adaptive optics ophthalmoscopy. Invest. Ophthalmol. Vis. Sci. 2024;65(7):4942.

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

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Abstract

Purpose : Fluorescence adaptive optics scanning light ophthalmoscopy (AOSLO) images individual RPE cells by utilizing the intrinsic AF of RPE fluorophores such as lipofuscin, melanin and melanolipofuscin. However, the contribution of each fluorophore to the AF signal remains controversial. Furthermore, evidence suggests that the composition of RPE fluorophores and their spectral fluorescence may change with age. Here, we used multi-spectral AF imaging in AOSLO to detect and quantify variations in AF of individual RPE cells in living human eyes as a function of wavelength, age, and eccentricity.

Methods : 11 healthy participants (age: 20-73) were sequentially imaged from the fovea to 12° temporal using eight different excitation wavelengths (ex: 660-795nm; em: 708-850nm); power levels varied and were below 50% of the ANSI MPE. Cellpose, a generalist machine learning cell segmentation tool, was used to retrain a model and segment the RPE cells. Segmentation of the cell borders allowed for morphometric analysis (e.g., cell area, aspect ratio) and evaluation of the AF signal at the cellular level. After normalization of the raw AF signal, AF heterogeneity of each wavelength was examined by calculating deviations from the mean AF signal.

Results : 143 retinal locations were imaged and ~68,000 RPE cells were segmented (Fig 1a) for analysis. 16 locations (12%) were excluded from analysis due to poor image quality. 720nm light produced images with highest AF intensity (37%). Of the RPE cells that showed AF variance, 660 and 795nm light deviated most from the mean AF signal intensity (96%). Some RPE cells showed more AF variance than others (Fig 1b). The younger cohort (20-40 yrs.) showed more deviation from the mean (0.88 SD) than the older (0.82 SD).

Conclusions : AF signal varied substantially across wavelengths. The smaller deviation across spectrum in the older cohort is suggestive of more colocalization of RPE AF signal with age. This finding is suggestive of a potential biomarker of RPE cell age, warranting further study in a larger cohort. Better understanding of how RPE multi-spectral AF changes with age may provide improved diagnostic tools to evaluate RPE health across the lifespan and in diseases affecting the RPE, such as age-related macular degeneration.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Fig. 1: Segmented AOSLO RPE cell mosaic (a) and multi-spectral AF variance at 5° temporal (b).

Fig. 1: Segmented AOSLO RPE cell mosaic (a) and multi-spectral AF variance at 5° temporal (b).

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