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Mc data manager

Manufactured by MultiSciences Biotech
Sourced in Germany

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.

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2 protocols using mc data manager

1

Multielectrode Array Recording of Spontaneous Neural Activity

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MEAs and associated equipment were acquired from Multi Channel Systems. We used a 60-channel MEA-1060-Inv-BC amplifier with MEAs that had 59 TiN electrodes with 30 μm radius and 200 μm spacing, and referenced recorded potentials against a larger internal reference electrode. Recordings were made at 37°C in room atmosphere. Before recording, cultures were allowed to equilibrate at least 5 min in room atmosphere after being taken out of the incubator.
Spontaneous activity on MEAs (see Fig. 2) was recorded for 10 min at a 32 kHz sampling frequency and 1200× gain. We recorded from all cultures three times per week for the first 48 d, where we changed to recording only twice every week. Data acquisition was performed using MC Rack (Multi Channel Systems), and files were then converted to the HDF5 file format using MC Data Manager (Multi Channel Systems). The exported files were opened in MATLAB (MathWorks) using the third-party publicly available MATLAB plugin MCSMATLABDataTools (2022; Armin Walter, McsMATLABDataTools) where all further analyses were performed using custom-written software.
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2

Statistical Analysis of Heterologously Expressed CNG Channels

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The statistical analysis of the data from the heterologously expressed CNG channels was performed using the two-tailed unpaired Student’s t-test. Experimental data are given as mean ± SEM. Analysis of the experimental data was done with the OriginPro 2016G software (OriginLab Corporation, Northampton, MA, USA).
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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