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Bedggood P, Metha A. Direct visualization and characterization of erythrocyte flow in human retinal capillaries. Biomed Opt Express. 2012;3(12):3264-77doi: 10.1364/BOE.3.003264.
Bedggood, P., & Metha, A. (2012). Direct visualization and characterization of erythrocyte flow in human retinal capillaries. Biomedical optics express, 3(12), 3264-77. https://doi.org/10.1364/BOE.3.003264
Bedggood, Phillip, and Metha, Andrew. "Direct visualization and characterization of erythrocyte flow in human retinal capillaries." Biomedical optics express vol. 3,12 (2012): 3264-77. doi: https://doi.org/10.1364/BOE.3.003264
Bedggood P, Metha A. Direct visualization and characterization of erythrocyte flow in human retinal capillaries. Biomed Opt Express. 2012 Dec 01;3(12):3264-77. doi: 10.1364/BOE.3.003264. Epub 2012 Nov 15. PMID: 23243576; PMCID: PMC3521302.
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Biomed Opt Express. 2012 Dec 01;3(12):3264-77. doi: 10.1364/BOE.3.003264. Epub 2012 Nov 15.

Direct visualization and characterization of erythrocyte flow in human retinal capillaries.

Biomedical optics express

Phillip Bedggood, Andrew Metha

Affiliations

  1. Department of Optometry and Vision Sciences, The University of Melbourne, 3010, Australia.

PMID: 23243576 PMCID: PMC3521302 DOI: 10.1364/BOE.3.003264

Abstract

Imaging the retinal vasculature offers a surrogate view of systemic vascular health, allowing noninvasive and longitudinal assessment of vascular pathology. The earliest anomalies in vascular disease arise in the microvasculature, however current imaging methods lack the spatiotemporal resolution to track blood flow at the capillary level. We report here on novel imaging technology that allows direct, noninvasive optical imaging of erythrocyte flow in human retinal capillaries. This was made possible using adaptive optics for high spatial resolution (1.5 μm), sCMOS camera technology for high temporal resolution (460 fps), and tunable wavebands from a broadband laser for maximal erythrocyte contrast. Particle image velocimetry on our data sequences was used to quantify flow. We observed marked spatiotemporal variability in velocity, which ranged from 0.3 to 3.3 mm/s, and changed by up to a factor of 4 in a given capillary during the 130 ms imaging period. Both mean and standard deviation across the imaged capillary network varied markedly with time, yet their ratio remained a relatively constant parameter (0.50 ± 0.056). Our observations concur with previous work using less direct methods, validating this as an investigative tool for the study of microvascular disease in humans.

Keywords: (110.1080) Active or adaptive optics; (120.7250) Velocimetry; (170.1470) Blood or tissue constituent monitoring; (170.2655) Functional monitoring and imaging; (170.4470) Ophthalmology

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