Automated optimal design of wells for electromagnetic cell stimulation

• Autorzy: Di Barba Paolo , Fassina Lorenzo , Magenes Giovanni , Mognaschi Maria Evelina

Identyfikatory

DOI

10.15199/48.2019.05.01

Warianty tytułu

PL

Zautomatyzowany optymalny projekt urządzenia do elektromagnetycznej stymulacji komórek

• Języki publikacji: EN

Abstrakty

EN

In the paper, a device for in vitro electromagnetic stimulation of cells at low frequency (75 Hz) is considered. In particular, shape and position of a well-plate are identified in order to obtain a homogeneous stimulation and to maximize the space allotted to cell culture. To this end, the BiMO and  -BiMO optimization algorithms, which have shown good performances in multi-objective optimization of electromagnetic devices, are applied.

PL

W artykule opisano urządzenie do elektromagnetycznej stymulacji komórek metodą in vitro z wykorzystaniem sygnału o niskiej częstotliwości (75 Hz). W szczególności rozważane były kształt i położenie płytki do hodowli komórkowej w celu uzyskania jednorodnej stymulacji i maksymalizacji przestrzeni obejmującej hodowlę komórkową. W tym celu zastosowano algorytmy optymalizacji BiMO i  -BiMO, które umożliwiły optymalizację wielokryterialną urządzeń elektromagnetycznych.

Słowa kluczowe

EN

cell stimulation; force distribution; shape synthesis; multi-objective optimization

PL

stymulacja komórki; rozkład sił; synteza kształtu; optymalizacja wielokryterialna

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 5
• Strony: 1--4
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Di Barba Paolo

• University of Pavia, Dept. of Electrical, Computer and Biomedical Engineering, via Ferrata 5, I-27100 Pavia (Italy)Di Barba

autor

Fassina Lorenzo

• University of Pavia, Dept. of Electrical, Computer and Biomedical Engineering, via Ferrata 5, I-27100 Pavia (Italy)

autor

Magenes Giovanni

• University of Pavia, Dept. of Electrical, Computer and Biomedical Engineering, via Ferrata 5, I-27100 Pavia (Italy)

autor

Mognaschi Maria Evelina

• University of Pavia, Dept. of Electrical, Computer and Biomedical Engineering, via Ferrata 5, I-27100 Pavia (Italy)

Bibliografia

• [1] M. E. Mognaschi, P. Di Barba, G. Magenes, A. Lenzi, F. Naro, L. Fassina, Field models and numerical dosimetry inside an extremely-low-frequency electromagnetic bioreactor: the theoretical link between the electromagnetically induced mechanical forces and the biological mechanisms of the cell tensegrity, Springerplus, 3 (2014).
• [2] Di Barba P., Fassina L., Magenes G., Mognaschi M.E., “Shape synthesis of a well-plate for electromagnetic stimulation of cells,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, in press 2019.
• [3] Di Barba P., Dughiero F., Mognaschi M.E., Savini A., Wiak S., Biogeography-Inspired Multiobjective Optimization and MEMS Design, IEEE Transactions on Magnetics, 52 (2016), No 3.
• [4] Di Barba, P., Mognaschi, M.E., Savini, A., Wiak, S. Island biogeography as a paradigm for MEMS optimal design, International Journal of Applied Electromagnetics and Mechanics, 51 (2016), No s1, S97-S105.
• [5] Mognaschi M.E., Micro biogeography-inspired multi-objective optimisation for industrial electromagnetic design, Electronics Letters, 53 (2017), No. 22.
• [6] Di Barba, P., Mognaschi, M.E., Venini, P., Wiak S., Biogeography-inspired multiobjective optimization for helping MEMS synthesis. Archives of Electrical Engineering, 66 (2017), No 3.
• [7] Di Barba, P., Mognaschi, M.E., Krawczyk, A., The biogeography-inspired optimization for the design of coils for nerve stimulation. 17th IEEE International Conference on Smart Technologies, EUROCON 2017 - Conference Proceedings, 542-545.
• [8] Di Barba, P., Dughiero, F., Forzan, M., Mognaschi, M.E., Sieni, E., New solutions to a multi-objective benchmark problem of induction heating: An application of computational biogeography and evolutionary algorithms. Archives of Electrical Engineering, 67 (2018). No 1, 139-149.
• [9] Di Barba P., Mognaschi M.E., Dughiero F., Forzan M., Sieni E., Multi-objective optimization of a solenoid for MFH: a comparison of methods, Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, 21-23 October 2018, Washington DC, USA.
• [10] Di Barba P., Mognaschi M.E., Lowther D.A., Sykulski J. K., New improved solutions to a benchmark TEAM problem for Pareto optimization in magnetics, in press on IEEE Trans. on Magn., 2019.
• [11] Fassina L., Visai L., Benazzo F., Benedetti L., Calligaro A., Cusella De Angelis M. G., Farina A., Maliardi V., Magenes G., Effects of electromagnetic stimulation on calcified matrix production by SAOS-2 cells over a polyurethane porous scaffold, Tissue Engineering, 12 (2006), 1985-1999.
• [12] Osera C., Amadio M., Falone S., Fassina L., Magenes G., Amicarelli F., Ricevuti G., Govoni S., Pascale A., Pre-exposure of neuroblastoma cell line to pulsed electromagnetic field prevents H2O2-induced ROS production by increasing MnSOD activity, Bioelectromagnetics, 36 (2015), 219-232.
• [13] Fassina L., Saino E., Visai L., Magenes G., Electromagnetically enhanced coating of a sintered titanium grid with human SAOS-2 osteoblasts and extracellular matrix, Conf Proc IEEE Eng Med Biol Soc, 2008, 3582-3585.
• [14] Fassina L., Saino E., Sbarra M. S., Visai L., Cusella De Angelis M. G., Mazzini G., Benazzo F., Magenes G., Ultrasonic and electromagnetic enhancement of a culture of human SAOS-2 osteoblasts seeded onto a titanium plasma-spray surface, Tissue Engineering Part C Methods, 15 (2009), 233-242.
• [15] Osera C., Fassina L., Amadio M., Venturini L., Buoso E., Magenes G., Govoni S., Ricevuti G., Pascale A., Cytoprotective response induced by electromagnetic stimulation on SH-SY5Y human neuroblastoma cell line, Tissue Engineering Part A, 17 (2011), 2573-2582.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).