Difference between revisions of "Statistical dynamics of flowing red blood cells by morphological image processing"

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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 [http://en.wikipedia.org/wiki/Sickle-cell_disease 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 [http://en.wikipedia.org/wiki/Microfluidics microfluidic] devices with a cross-sectional area of 250 μm x 12 μm (red blood cells have a radius of ~4 μm and thickness of ~1-2 μm) 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.
 
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 [http://en.wikipedia.org/wiki/Sickle-cell_disease 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 [http://en.wikipedia.org/wiki/Microfluidics microfluidic] devices with a cross-sectional area of 250 μm x 12 μm (red blood cells have a radius of ~4 μm and thickness of ~1-2 μm) 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.
  
[[Image:segmented_channel.jpg|thumb|400px| '''Fig. 2''' Top: sample tracking image from video frame with the red blood cells segmented and numbered.  Bottom: Centroid of each cell marked with vector arrow trajectory.]]
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[[Image:segmented_channel.jpg|thumb|400px| '''Fig. 2''' Top: Sample tracking image from video frame with the red blood cells segmented and numbered.  Bottom: Centroid of each cell marked with vector arrow trajectory.]]
  
 
== Soft Matter ==
 
== Soft Matter ==

Revision as of 01:47, 13 September 2009

Original Entry by Michelle Borkin, AP225 Fall 2009

Overview

"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.

Summary

Fig. 1 Schematic of the experimental set-up.

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 μm x 12 μm (red blood cells have a radius of ~4 μm and thickness of ~1-2 μm) 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.

Fig. 2 Top: Sample tracking image from video frame with the red blood cells segmented and numbered. Bottom: Centroid of each cell marked with vector arrow trajectory.

Soft Matter