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MicroGraphited-Diamond-Multi Electrode Arrays ({\mu}G-D-MEAs) can besuccessfully used to reveal, in real time, quantal exocytotic events occurringfrom many individual neurosecretory cells and/or from many neurons within anetwork. As {\mu}G-D-MEAs arrays are patterned with up to 16 sensingmicroelectrodes, each of them recording large amounts of data revealing theexocytotic activity, the aim of this work was to support an adequate analysiscode to speed up the signal detection. The cutting-edge technology ofmicroGraphited-Diamond-Multi Electrode Arrays ({\mu}G-D-MEAs) has beenimplemented with an automated analysis code (APE, Amperometric Peak Analysis)developed using Matlab R2022a software to provide easy and accurate detectionof amperometric spike parameters, including the analysis of the pre-spike footthat sometimes precedes the complete fusion pore dilatation. Data have beenacquired from cultured PC12 cells, either collecting events during spontaneousexocytosis or after L-DOPA incubation. Validation of the APE code was performedby comparing the acquired spike parameters with those obtained using QuantaAnalysis (Igor macro) by Mosharov et al.

biosensors

Enhancing the Study of Quantal Exocytotic Events: Combining Diamond  Multi-Electrode Arrays with Amperometric PEak Analysis (APE) an Automated  Analysis Code