2022
DOI: 10.1167/tvst.11.8.19
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Histologic Cell Shape Descriptors for the Retinal Pigment Epithelium in Age-Related Macular Degeneration: A Comparison to Unaffected Eyes

Abstract: Purpose Phenotype alterations of the retinal pigment epithelium (RPE) are a main characteristic of age-related macular degeneration (AMD). Individual RPE cell shape descriptors may help to delineate healthy from AMD-affected cells in early disease stages. Methods Twenty-two human RPE flatmounts (7 eyes with AMD [early, 3; geographic atrophy, 1; neovascular, 3); 15 unaffected eyes [8 aged ≤51 years; 7 aged >80 years)] were imaged at the fovea, perifovea, and near periphe… Show more

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Cited by 15 publications
(11 citation statements)
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“…2 D,E), consistent with our TER observations. Measurement of morphological parameters revealed a significant decrease in cellular roundness and form factor, two widely used RPE morphometric parameters 19 – 21 , following DNA treatment. Interestingly, these changes were associated with re-organization of RPE tight-functions with jagged and zigzag redistribution of ZO-1 (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…2 D,E), consistent with our TER observations. Measurement of morphological parameters revealed a significant decrease in cellular roundness and form factor, two widely used RPE morphometric parameters 19 – 21 , following DNA treatment. Interestingly, these changes were associated with re-organization of RPE tight-functions with jagged and zigzag redistribution of ZO-1 (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…4 E). Finally, RPE dysmorphia (rounding, stacking, anterior migration), also seen in AMD, 41 can cause hyperautofluorescence because of increased pathlength of light through cells with fluorophores. 21 , 22 , 42 , 43 Although we cannot exclude spectral filter effects by SDD or photopigments (or their absence) affecting apparent RPE fluorescence, these effects should alter spectra (PEW) but not lifetimes.…”
Section: Discussionmentioning
confidence: 99%
“…Despite this limitation, REShAPE was specifically trained to recognize and segment RPE cell borders and performs better than other existing methods, such as Voronoi 8 and CellProfiler 9 segmentation of RPE cells. Moreover, compared to manual segmentation 10 , REShAPE provides the advantage of analyzing large images quickly (~130,000 pixels x 130,000 pixels were tested). In conclusion, this dissection method is highly reproducible and can be easily extended to other animal models.…”
Section: Discussionmentioning
confidence: 99%