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Proceedings Paper

Measurement of shear-induced diffusion of red blood cells using dynamic light scattering-optical coherence tomography
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Paper Abstract

Dynamic Light Scattering-Optical Coherence Tomography (DLS-OCT) takes the advantages of using DLS to measure particle flow and diffusion within an OCT resolution-constrained 3D volume, enabling the simultaneous measurements of absolute RBC velocity and diffusion coefficient with high spatial resolution. In this work, we applied DLS-OCT to measure both RBC velocity and the shear-induced diffusion coefficient within penetrating venules of the somatosensory cortex of anesthetized mice. Blood flow laminar profile measurements indicate a blunted laminar flow profile, and the degree of blunting decreases with increasing vessel diameter. The measured shear-induced diffusion coefficient was proportional to the flow shear rate with a magnitude of ~ 0.1 to 0.5 × 10-6 mm2 . These results provide important experimental support for the recent theoretical explanation for why DCS is dominantly sensitive to RBC diffusive motion.

Paper Details

Date Published: 12 February 2018
PDF: 9 pages
Proc. SPIE 10481, Neural Imaging and Sensing 2018, 104811N (12 February 2018); doi: 10.1117/12.2290345
Show Author Affiliations
Jianbo Tang, Massachusetts General Hospital, Harvard Medical School (United States)
Boston Univ. (United States)
Sefik Evren Erdener, Massachusetts General Hospital, Harvard Medical School (United States)
Boston Univ. (United States)
Baoqiang Li, Massachusetts General Hospital, Harvard Medical School (United States)
Buyin Fu, Massachusetts General Hospital, Harvard Medical School (United States)
Sava Sakadzic, Massachusetts General Hospital, Harvard Medical School (United States)
Stefan A. Carp, Massachusetts General Hospital, Harvard Medical School (United States)
Jonghwan Lee, Brown Univ. (United States)
David A. Boas, Massachusetts General Hospital, Harvard Medical School (United States)
Boston Univ. (United States)


Published in SPIE Proceedings Vol. 10481:
Neural Imaging and Sensing 2018
Qingming Luo; Jun Ding, Editor(s)

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