RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
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The method of dynamic data processing in spectral optical coherence tomography based on Kalman filtering is suggested. Adaptive choice possibility of necessary number of spectral samples to ensure required resolution for a particular investigated sample is shown. Examples of experimental data processing obtained at biological objects investigating are presented.
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