Pregled bibliografske jedinice broj: 1228031
3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor
3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor // BioEl 2022 Book of abstracts
Kirchberg in Tirol, Austrija, 2022. str. 109-109 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1228031 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor
Autori
Opančar, Aleksandar ; Mioković, Anja ; Stoppacher, Sara ; Rienmuller, Theresa ; Đerek, Vedran
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
BioEl 2022 Book of abstracts
/ - , 2022, 109-109
Skup
BioEl2022 International Winterschool on Bioelectronics
Mjesto i datum
Kirchberg in Tirol, Austrija, 12. 03. 2022. - 19. 03. 2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Bioelectronic interfaces, organic electronics, neurostimulation, FEM modeling
Sažetak
There are many parameters that can determine if a single neuron placed on top of the organic electrolytic photocapacitor (OEPC) can be successfully stimulated. We can divide those parameters into three categories: OEPC parameters such as maximum current density or voltage ; interface parameters such as electrode geometry or neuron-electrode cleft distance ; and neuron parameters characterized with neuron shape and ion channel conductivities. With so many variables it is crucial to understand the influence of each of those parameters to ultimately determine if the stimulation will be possible. For that purpose, we developed a complete 3D FEM model of capacitive photo-electrode and neuron in COMSOL Multiphysics. OEPC is characterized by its equivalent circuit model and contact electrical properties while neuron is modelled by solving Hodgkin–Huxley equations on the cell membrane with realistic ion channel distribution along the dendrites, axon and soma. Using our model, we can estimate the probability that the neuron is successfully stimulated in a particular experimental arrangement. Also, based on model predictions we can try to make improvements to the experimental setup in the most effective and viable way.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Projekti:
HRZZ-UIP-2019-04-1753 - Mikro i nano-strukture za 3D opto-bioelektroniku (3Doptobio) (Đerek, Vedran, HRZZ - 2019-04) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb