The diluted blood cell solution was injected into microfabricated silicon microchannels
and a high speed complementary metal oxide semiconductor camera was employed to record the microflow video. The images extracted from the recorded video were processed and segmented with background noises removing
contrast gradient enhancing
intensity smoothing
and mathematical morphology operating to recognize the moving objects. For the errors and deviations in segmentation
the recognized cell shapes were corrected to more reasonable profiles by curve-fitting
and applied to calculate the flow parameters of cells including sizes
velocities etc. The calculated results indicated that the flow profile of cells gets approximately parabolic and similar to the common flow in large channels. Under the pulling and dragging of solution
cells not only are elongated to ellipsoidal shapes but also roll and rotate themselves to adjust orientation in fluid environment. These rolling and rotating movements only occur in their flow traces and change their flow state in microchannels. The reason why these phenomena take place is mainly due to the imbalance of the flow shear torques upon blood cell in the microchannel
which makes the flow characteristics of blood cells more complicated and variable.
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references
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