Statistical dynamics of flowing red blood cells by morphological image processing

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Original Entry by Michelle Borkin, AP225 Fall 2009


"Statistical dynamics of flowing red blood cells by morphological image processing."

J. Higgins, D. Eddington, S. Bhatia and L. Mahadevan. PLoS Computational Biology, 5, e1000288, 2009.


This paper investigates the complex random motions of individual red blood cells to better understand the role of individual cell movements in nutrient transport, gas transport, clotting, and hematological diseases. With this microscopic view, versus studying just the bulk flow, they were able to see the importance of these random motions. For example, patients with sickle cell disease who have irregularly shaped cells, have decreased random cellular motions suggesting an increased risk of vessel occlusion. The experiments were conducted by passing blood through microfluidic devices with a cross-sectional area of 250 microns x 12 microns (red blood cells have a radius of ~4 microns and thickness of ~1-2 microns) thus confining the motion of the cells to one direction. This "quasi-2D" set-up allowed for easy video imaging of the cells and subsequent image analysis to determine the random motions.

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