We create computerized background for innovative investigations of bioprocesses.




Biodevice systems sro. develops algorithms and solves mass-transfer problems for wide range of applications. In particular we create models and  tools to the optimization of cell-containing construction and simulation of metabolic processes.

The simulation of osteogenic tissue development in vitro and in vivo using the elaborated program is presented here. The program gives the possibility of spatial and temporal description of cell proliferation and bone maturation in porous Scaffold (in vitro or in vivo). It also gives the possibility of experimental data treatment  defining what osteogenic tissue development parameters and mechanical properties of the system can be expected.

Simulation of methane production in laboratory plant of waste treatment was realized with the use of two-stage approach. Model of Lubenova V. et.al. (2002). 

Program takes into account digestion of biomass with the help of two microbial lines and describes 6 stages of intermedial products transformation. 


Parameters of carbohydrate metabolism (and implanted cells properties) in patients with diabetes with/without beta-cell transplantat can be simulated with the help of elaborated computerized model. This program takes into account 56 parameters. These are time, type and amount of injected insuline; times and amount of carbohydrates inputs with food; amount of different islet cell kinds in the implant; their kinetic viability depending on macro (micro-) capsule permeability etc. Program could give essential recommendations concerning insulin therapy and diet optimization (including postimplantation organism adaptation), as well as desired features of an implant for a real patient.



Magnetic properties of objects saturated with magnetic nanoparticles  could be simulated using the software. It allows as well to solve the inverse problem, namely to calculate the object magnetic properties if the MNP (domain) diameter distribution and the ratio of magnetic material volume to object volume are known. Moreover, the experimental data acquired for one object (for example a scaffold) could be used for making a prediction of the magnetic properties of other objects (for example cells) magnetized by the same MNPs.



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