Recently, the active carbon filter (ACF) has drawn attention because of its usefulness in the electrical and electronics fields. to improve the quality of ACF, the microscopic structure of this material must be analyzed. One method is to observe the structure using a transmission electron microscope (TEM). Recently, the capability of the TEM has been improved drastically. Not only can its molecular structure be observed but also numerous analytical equipment has been attached to it. ACF has been investigated by using a TEM, and it has been found that the ACF structure was so complex that quantitative analysis was impossible. Computer analysis of a TEM image has also been attempted. In this analysis, the TEM image was processed by the two‐dimensional fast Fourier transform and fiequency analysis to investigate the distribution of the pore diameter of ACF. As a result, it was speculated that the pore shape was fractal. Then, it was shown that the contour of the pore cross section was fractal and the fractal dimension was obtained. When the structure was too complex to analyze only by TEM analysis, the introduction of the image processing method was effective.
A biosensor is needed to be light, strong, durable, as well as to satisfy the safety conditions against virulence, stimulation, carcinogenicity and allergic reactions. Carbon is one of the most suitable elements which has the highest blood compatibly, and have been used as an intrvascular implant material. Because of these high degree of adaptabilities, carbon is expected to apply as an in-vivo bio-sensor. In this paper, we developed a new bipolar biosensor using advanced PAN-based carbon fibers (CF). The CF electrodes have been estimated to have enough sensitivity and stability as a nerve signal detector presumably because of the high degree of affinity of carbon fiber to an organism. The CF biosensors were set on the sympathetic nerves of small test animals, and the electric signals of sympathetic nerves activity for the hepatic, the cardiac and renal were detected. The fast Fourier transform (FFT) was carried out on the signals, and the FFT power spectrums were lined up along the time axis in order to transfer to color images of the signals. It has been suggested that the images indicate the clear information from noisy original signal and evaluated to be useful, especially to analyze the influence of bleeding. It is shown that the sympathetic nerve activity of the each viscera is analyzed in detail by CF sensor combined with this image processing system.
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