In the present study, we employed the laser scanning confocal microscope to image entire blood flow with accurate
red blood cell imaging of 0.001 mm spatial resolution. In vitro blood flow of rat with different hematocrit ratios was
simulated inside a 100and 300-micron opaque tube. The scanning rate of confocal microscope was 30 fps with 500 x 500
pixels of image. As a result, we can obtain clear images of RBCs to which is enough to be used as tracer particle directly
to get the velocity vector field of blood flow by performing particle image velocimetry (PIV) technique non-invasively.
Based on the present novel optical application, we can easily indicate the presence of cell depleted layer of blood flow in
vitro and its boundaries.
KEYWORDS: Digital signal processing, Image processing, Field programmable gate arrays, Blood, Signal processing, Imaging systems, Charge-coupled devices, Image sensors, Line scan image sensors, Biomedical optics
Blood samples are frequently analyzed for the blood disorders or other diseases in the research and clinic applications.
Most of the analyses are related to blood cell counts and blood cell sizes. In this paper, the line scan CCD imaging
system is developed, which is based on the Texas Instruments' TMS320C6416T (DSP6416), a high performance digital
signal processor and Altera's Field programmable Gate Array (FPGA) EP3C25F324. It is used to acquire and process the
images of blood cells for counting the number of cells, sizing and positioning them. The cell image is captured by line
scan CCD sensor and then the digital image data converted by Analogue Front-End (AFE) are transferred into FPGA,
after pre-processing they are transferred into DSP6416 through the interface of First In First Out (FIFO) in FPGA and
External Memory Interfaces (EMIF) of DSP6416. Then the image data are processed in DSP6416. Experimental results
show that this system is useful and efficient.
This paper proposed a new method to measure the ECG signal from the driver. The ECG signal is often measured in the room. But it is mixed with many kinds of noise when it is measured during the vehicle moving. Noise occupied most many parts as the experimental among them was classified. And one suitable filter for each noise was designed. It used ALE(Adaptive Line Enhancement) to remove the noise occurred to electromagnetic wave in vehicle. To remove the noise occurred to steering or vibration of vehicle, the paper used Wavelet transformation after ALE(preprocessing filter). To realize unconscious measurement, this research used the stainless steel(not the electrode) fixed at steering wheel and designed the adaptive filter without using reference signal.
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