Por favor, use este identificador para citar o enlazar este ítem:
http://rid.unrn.edu.ar/handle/20.500.12049/13461
Título: | Finite Difference Model Representing Cell Distribution in Monolayer |
Autor(es): | Acerbo, Esteban Bellotti, Mariela Ines Bonetto, Fabian |
Fecha de publicación: | 17-sep-2025 |
Revista: | 6th Conference on Impedance-Based Cellular Assays (IBCA), Super C, Universidad RWTH Aachen, Alemania1 |
Resumen: | In this work we developed a finite difference algorithm to calculate the spectral impedance of any distribution of square cells over an electrode. Allowing to simulate assays evolution, cell death dynamics, different cell morphologies and any electrode shape. The spectral impedance is calculated as a function of alpha, Rb and Cm. The same parameters proposed by Giaever and Keese to analytically model a confluent culture over an infinite electrode [1]. Using the same parameters allows us to compare the simulation results of a non-confluent culture to its confluent equivalent. As seen in the Figure, a simulation resume of a culture with 75% alive – 25% dead cells emplaced randomly. The results show the system spectral impedance between the bare electrode (100% dead cells) and GK model (100% alive cells) as expected. This model is aimed to estimate the cell population above the electrode by contrasting simulations with experimental measurements. For this it is necessary to simulate different cell distributions or assay evolutions, using a range of parameter to compare before the measurement as each simulation is computationally expensive. |
URI: | http://rid.unrn.edu.ar/handle/20.500.12049/13461 |
Aparece en las colecciones: | Objetos de conferencia |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
PresentacionIBCA2025.pdf | 6,52 MB | Adobe PDF | Visualizar/Abrir |
Este documento es resultado del financiamiento otorgado por el Estado Nacional, por lo tanto queda sujeto al cumplimiento de la Ley N° 26.899
Este ítem está sujeto a una licencia Creative Commons
Licencia Creative Commons