  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.
