Theodore G. Papazoglou

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The identification of the state of human peripheral vascular tissue by using artificial neural networks is discussed in this paper. Two different laser emission lines (He-Cd, Ar+) are used to excite the chromophores of tissue samples. The fluorescence spectrum obtained, is passed through a nonlinear filter based on a high-order (HO) neural network neural(More)
OBJECTIVE We used laser Doppler spectroscopy to detect hyperactivity of muscle fibers caused by the presence of fibrillations, positive waves and fasciculations. METHODS The proposed method relies upon the dynamic scattering of light by moving particles, which causes a Doppler shift of the original frequency. For resolution of small alterations in(More)
Second-harmonic generation (SHG) and two-photon excitation fluorescence (TPEF) are relatively new and promising tools for the detailed imaging of biological samples and processes at the microscopic level. By exploiting these nonlinear phenomena phototoxicity and photobleaching effects on the specimens are reduced dramatically. The main target of this work(More)
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