Spontaneous activity on MEAs (see
Mc data manager
The MC Data Manager is a software application designed to manage and organize data generated in a research laboratory setting. It provides a centralized platform for the storage, retrieval, and analysis of experimental data. The core function of the MC Data Manager is to facilitate the efficient management and organization of research data.
2 protocols using mc data manager
Multielectrode Array Recording of Spontaneous Neural Activity
Spontaneous activity on MEAs (see
Statistical Analysis of Heterologously Expressed CNG Channels
MEA-recorded raw data files were filtered employing a Butterworth 2nd order filter (MC-Rack, Multi-channel systems) to extract the µERG (field potentials: bandpass 0.01–100 Hz) and spikes (high pass 200 Hz). The filtered data were converted to *.hdf files by MC DataManager (v1.6.1.0, Multi Channel Systems, Reutlingen, Germany) for further data processing in MATLAB [39 (link)]. Shown traces data are the average of 30 MEA recording electrodes, per condition. n = 5 retinae were recorded per condition. Statistical significance was estimated by one-way ANOVA followed by the Dunnett´s test for multiple comparisons. Experimental data are given as mean ± SEM.
The a-wave slope was calculated as the quotient of the a-wave deflection in µV per 20 ms period (last 20 ms of the a-wave amplitude; between starting point of the a-wave (response latency) and the ending at the a-wave (peak time)).
Figures were prepared using CorelDraw® 2019 (Corel, Ottawa, ON, Canada) and Inkscape (inkscape.org, accessed on 1 February 2021).
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