Mixtool: Theoretical Estimation of Conductivity


Computational dosimetry requires a’priori knowledge of the electrical properties for all model components, including those of tissues or cellular compartments. Obviously, measured data are not available for many biological material. This lack of data is noticeable for very low or very high frequencies (e.g. THz) and for certain biological entities (e.g. the nucleoplasm). The shortage can be partly remedied by theoretical estimations of electrical properties based on a knowledge of chemical composition and microstructure.

The Mixtool for Matlab is a toolbox designed to do such estimations. It is developed through a collaboration work by researchers from our group and the Chair for electromagnetic theory, Bergische Universitaet Wuppertal, Germany.

To have a glance at the underlying principles and examples read our papers:

M.Saviz, L. M. Toko, O. Spathmann, J. Streckert, V. Hansen, M. Clemens, R. Faraji-Dana, " A new open-source toolbox for estimating the electrical properties of biological tissues in the terahertz frequency band," Journal of Infrared, Millimeter, and Terahertz Waves, vol. 34, Issue 9, pp. 529-538, 2013.

O. Spathmann, M. Saviz, J. Streckert, M. Zang, V. Hansen and M. Clemens, "Numerical Verification of the Applicability of the “Effective Medium Theory” with Respect to Dielectric Material Properties," Submitted to IEEE Conference on Electromagnetic Field Computation, CEFC, Annecy, France, 2014.

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