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Pregled bibliografske jedinice broj: 1228031

3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor


Opančar, Aleksandar; Mioković, Anja; Stoppacher, Sara; Rienmuller, Theresa; Đerek, Vedran
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

Profili:

Avatar Url Vedran Đerek (autor)

Avatar Url Aleksandar Opančar (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada drive.jku.at

Citiraj ovu publikaciju:

Opančar, Aleksandar; Mioković, Anja; Stoppacher, Sara; Rienmuller, Theresa; Đerek, Vedran
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)
Opančar, A., Mioković, A., Stoppacher, S., Rienmuller, T. & Đerek, V. (2022) 3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor. U: BioEl 2022 Book of abstracts.
@article{article, author = {Opan\v{c}ar, Aleksandar and Miokovi\'{c}, Anja and Stoppacher, Sara and Rienmuller, Theresa and \DJerek, Vedran}, year = {2022}, pages = {109-109}, keywords = {Bioelectronic interfaces, organic electronics, neurostimulation, FEM modeling}, title = {3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor}, keyword = {Bioelectronic interfaces, organic electronics, neurostimulation, FEM modeling}, publisherplace = {Kirchberg in Tirol, Austrija} }
@article{article, author = {Opan\v{c}ar, Aleksandar and Miokovi\'{c}, Anja and Stoppacher, Sara and Rienmuller, Theresa and \DJerek, Vedran}, year = {2022}, pages = {109-109}, keywords = {Bioelectronic interfaces, organic electronics, neurostimulation, FEM modeling}, title = {3D FEM Model of Neuron Excitation Using an Organic Electrolytic Photocapacitor}, keyword = {Bioelectronic interfaces, organic electronics, neurostimulation, FEM modeling}, publisherplace = {Kirchberg in Tirol, Austrija} }




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