Tracking Individual Blood Cells
2009 February 16
This is another interesting work form L. Mahadevan group (read more about him). They have developed a new computational approach that can differentiate individual cells in dense suspension of soft non-brownian red blood cells, and track their spatio-temporal dynamics as they flow. In physiological conditions flow of red blood cells depend on the various interactions such as cell-to-cell and cell-to-envirnment. These physiological interactions are regulated by combined effects of varying cell concentration, cell morphology, cell rheology, and confinement. These interaction were analysed using morphological image processing of the captured video frames of blood flow, followed by machine learning implementation to track the red blood cells from frame to frame and to quantify velocities for individual cells. Method measures cellular velocity fluctuations as a function of blood flow rate, shape, and stiffness. Further examination of normal and sickled red blood cells suggests that blood from patients with sickle cell disease shows decreased random cellular motions and indicate that this deviation may provide a physical basis for the increased risk of occlusion and thrombosis in sickle cell disease.
A sample tracking image. First panel shows Cell segmentation using morphological criteria and second panel their tracking from frame to frame
Marker-controlled watershed transformation during segmentation process
References:
John M. Higgins, David T. Eddington, Sangeeta N. Bhatia, L. Mahadevan (2009). Statistical Dynamics of Flowing Red Blood Cells by Morphological Image Processing PLoS Computational Biology, 5 (2) DOI: 10.1371/journal.pcbi.1000288
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Tracking Individual Blood Cells: This is another interesting work form L. Mahadevan group (read more about him)… http://tinyurl.com/apnakk
Tracking Individual Blood Cells: This is another interesting work form L. Mahadevan group (read more about him)… http://tinyurl.com/apnakk
Tracking Individual Blood Cells http://tinyurl.com/cbp8yj
Tracking Individual Blood Cells http://tinyurl.com/cbp8yj