Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles

Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles

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Multiparameter analysis of simultaneous optical data for 3D disperse systems (consisted from nano- and/or microparticles of different nature) by information-statistical methods can help to estimate the share of different types of particles in mixtures.At the solution of inverse optical problem for unknown poly-component 3D DS, the comparison read more of measured parameters with the known ones from the set of mono-component 3D DS can help cyspera cream where to buy to identify the component content of the system under study.The approach was tested on the biomineral water mixtures of kaolin clay and bacterium coli bacillus with the help of the program based on the information-statistical theory.

To solve the impurity optical recognition tasks, the Base of optical data for 3D DS is needed.