Purpose: Cell experiments are vitally dependent on CO2 incubators. The heating system of usual incubators result in undesirable induction of Electromagnetic (EM) fields on cells that result in decreased accuracy in bio-electromagnetic tests. EM shields can cause a considerable decrease in the stray fields and eliminate the undesirable induction. Materials and Methods: CST-2019 is used for simulations. five different shielding systems have been examined in this paper. We try to modify shape and material used for shielding to achieve better result. (Iron, Mu-Metal, steel). Results: We introduce a simple practical design, together with variations of previously reported ones, and numerical evaluation of their magnetic field attenuation. Conclusion: The targeted design decreases the field within the shield to about 0. 03 times of the incident magnetic field, while having holes for air and CO2 exchange.

Researchers in Bioelectromagnetics often require realistic tissue, cellular and subcellular geometry models for their simulations. However, biological shapes are often extremely irregular, while conventional geometrical modeling tools in the market cannot meet the demand for fast and efficient construction of irregular geometries. We have designed a free, user-friendly tool in MATLAB that combines several known or new algorithms for easy production of three-dimensional complex cell shapes based on minimum data. We have considered four different methods of creating objects: Generalized Rotation, Super-Formula, 3D reconstruction of 2D parallel cross-sections and branching models. Besides, many transformations such as translation and rotation, Boolean operations for 3D objects including union and intersection, random copy, etc. are also included in the toolbox. By utilizing different methods, our toolbox generates a larger variety of realistic biological geometries, especially tailored for irregular and branching cellular and sub-cellular shapes. We present a group of biological shape examples in this paper. The toolbox can export the geometries to common standard stl or voxel formats to be used for simulations in other software. We have developed an open, user-friendly toolbox, with specialization in cellular and sub-cellular irregular models. This toolbox can provide the essential realistic cellular models for scientific simulations in biomedical engineering, biotechnology, Bioelectromagnetics, cell biomechanics, and serve as an educational visualization tool in teaching cell biology. Examples of microdosimetric simulations for electromagnetic exposure to RF frequencies are given and discussed.

In this paper by electromagnetic modeling of neurons in brain, the brain waves have been derived in a full-wave way. Now, in all clinics and research centers, traditionally, it has been done by using the quasi-static approximation of the Maxwell equation in electromagnetic. However, the error rate resulting from the approximation has not been studied upon the final results. This issue becomes more noticeable due to increasing the sensitivity of today's modern sensors. In this paper, first, with an overview of the basics of applying quasi-static approximation in the analysis brain waves, ambiguities about the suitability of this approximation are presented and the necessity of full-wave solution of the problem is expressed. Then, in the simplest form, the electromagnetic fields aroused from a current dipole where is located in the center of a sphere with known conductivity is written in terms of Bessel and Hankel function expansion; and the problem has been solved in a full-wave way by using of scattering theories in electromagnetic. Finally, the curve of relative difference measure (RDM) between quasi-static and full-wave solution has been drawn in terms of frequency conductivity. One of the important achievements of full-wave modeling is enriching the information resulted from EEG and MEG and consequently extracting more accurate patterns from brain activities.