| Autor: |
Tomagra, Giulia, Re, Alice, Varzi, Veronica, Aprà, Pietro, Britel, Adam, Franchino, Claudio, Sturari, Sofia, Amine, Nour-Hanne, Westerink, Remco H. S., Carabelli, Valentina, Picollo, Federico |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Biosensors. 2023; 13(12):1033 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.3390/bios13121033 |
| Popis: |
MicroGraphited-Diamond-Multi Electrode Arrays ({\mu}G-D-MEAs) can be successfully used to reveal, in real time, quantal exocytotic events occurring from many individual neurosecretory cells and/or from many neurons within a network. As {\mu}G-D-MEAs arrays are patterned with up to 16 sensing microelectrodes, each of them recording large amounts of data revealing the exocytotic activity, the aim of this work was to support an adequate analysis code to speed up the signal detection. The cutting-edge technology of microGraphited-Diamond-Multi Electrode Arrays ({\mu}G-D-MEAs) has been implemented with an automated analysis code (APE, Amperometric Peak Analysis) developed using Matlab R2022a software to provide easy and accurate detection of amperometric spike parameters, including the analysis of the pre-spike foot that sometimes precedes the complete fusion pore dilatation. Data have been acquired from cultured PC12 cells, either collecting events during spontaneous exocytosis or after L-DOPA incubation. Validation of the APE code was performed by comparing the acquired spike parameters with those obtained using Quanta Analysis (Igor macro) by Mosharov et al. |
| Databáze: |
arXiv |
| Externí odkaz: |
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