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Prospects of application of the method in experimental medicine to differentiate postmortem changes of the myocardial tissue was examined.Ĭorrosion in marine environment is an actual problem, being a complex dynamic process influenced mainly by physical, chemical, microbiological and mechanical parameters. From the point of view of probative medicine the operational characteristics (sensitivity, specificity and accuracy) of the information-optical method of Mueller-matrix mapping of polycrystalline films of blood plasma were found and its efficiency in diagnostics of liver cirrhosis was demonstrated. Within the statistical analysis of such parameters distributions the objective criteria of differentiation of films of blood plasma taken from healthy and patients with liver cirrhosis were determined. The ensemble of informationally topical azimuthally stable Mueller-matrix invariants is determined.
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The model of Mueller-matrix description of mechanisms of optical anisotropy of such objects as optical activity, birefringence, as well as linear and circular dichroism is suggested.
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In the end, we briefly presents the hardware and software solutions of our model, some characteristics and a first image obtained in visible domain.Ī new information optical technique of diagnostics of the structure of polycrystalline films of blood plasma is proposed. The paper has an extended section dedicated to the CS theory and single pixel camera architecture. We reconsidered this concept in view of THz application and, at present, we have an experimental model for a THz camera. This solution is the single pixel camera with CS, a concept developed at Rice University that has materialized in several laboratory models and an IR camera released on the market in 2013. The CS can provide an efficient solution for THz imaging. In imaging applications, one of the problems is the sensing device: the THz detectors are slow and bulky and cannot be integrated in large arrays like the CCD. The THz radiation is nowadays of high interest due to its capability to emphasize the molecular structure of matter. By CS, a sparse signal can be perfectly recovered from a number of measurements, which is significantly lower than the number of periodic samples required by Sampling Theorem. The Compressive Sensing (CS) is an emergent theory that provides an alternative to Shannon/Nyquist Sampling Theorem.