Paper
8 February 2017 Characterizing motility dynamics in human RPE cells
Author Affiliations +
Proceedings Volume 10045, Ophthalmic Technologies XXVII; 1004515 (2017) https://doi.org/10.1117/12.2256144
Event: SPIE BiOS, 2017, San Francisco, California, United States
Abstract
Retinal pigment epithelium (RPE) cells are vital to health of the outer retina, however, are often compromised in ageing and ocular diseases that lead to blindness. Early manifestation of RPE disruption occurs at the cellular level, but while in vivo biomarkers at this scale hold considerable promise, RPE cells have proven extremely challenging to image in the living human eye. Recently we addressed this problem by using organelle motility as a novel contrast agent to enhance the RPE cell in conjunction with 3D resolution of adaptive optics-optical coherence tomography (AO-OCT) to section the RPE layer. In this study, we expand on the central novelty of our method – organelle motility – by characterizing the dynamics of the motility in individual RPE cells, important because of its direct link to RPE physiology. To do this, AO-OCT videos of the same retinal patch were acquired at approximately 1 min intervals or less, time stamped, and registered in 3D with sub-cellular accuracy. Motility was quantified by an exponential decay time constant, the time for motility to decorrelate the speckle field across an RPE cell. In two normal subjects, we found the decay time constant to be just 3 seconds, thus indicating rapid motility in normal RPE cells.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhuolin Liu, Kazuhiro Kurokawa, Furu Zhang, and Donald T. Miller "Characterizing motility dynamics in human RPE cells", Proc. SPIE 10045, Ophthalmic Technologies XXVII, 1004515 (8 February 2017); https://doi.org/10.1117/12.2256144
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Cited by 6 scholarly publications.
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KEYWORDS
Adaptive optics optical coherence tomography

Axons

Eye

Retina

Image segmentation

In vivo imaging

Speckle

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