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DrCell – A Software Tool for the Analysis of Cell Signals Recorded with Extracellular Microelectrodes
Christoph Nick, Michael Goldhammer, Robert Bestel, Frederik Steger, Andreas Daus, Christiane Thielemann
Pages - 96 - 109     |    Revised - 15-08-2013     |    Published - 15-09-2013
Volume - 7   Issue - 2    |    Publication Date - September 2013  Table of Contents
MATLAB® Toolbox, Bio Signal Processing, Spike Sorting, Network Analysis, Extracellular Recording.
Microelectrode arrays (MEAs) have been applied for in vivo and in vitro recording and stimulation of electrogenic cells, namely neurons and cardiac myocytes, for almost four decades. Extracellular recordings using the MEA technique inflict minimum adverse effects on cells and enable long term applications such as implants in brain or heart tissue.

Hence, MEAs pose a powerful tool for studying the processes of learning and memory, investigating the pharmacological impacts of drugs and the fundamentals of the basic electrical interface between novel electrode materials and biological tissue. Yet in order to study the areas mentioned above, powerful signal processing and data analysis tools are necessary.

In this paper a novel toolbox for the offline analysis of cell signals is presented that allows a variety of parameters to be detected and analyzed. We developed an intuitive graphical user interface (GUI) that enables users to perform high quality data analysis. The presented MATLAB® based toolbox gives the opportunity to examine a multitude of parameters, such as spike and neural burst timestamps, network bursts, as well as heart beat frequency and signal propagation for cardiomyocytes, signal-to-noise ratio and many more. Additionally a spike-sorting tool is included, offering a powerful tool for cases of multiple cell recordings on a single microelectrode.

For stimulation purposes, artifacts caused by the stimulation signal can be removed from the recording, allowing the detection of field potentials as early as 5 ms after the stimulation.
CITED BY (9)  
1 Frieß, J. L., Heselich, A., Ritter, S., Haber, A., Kaiser, N., Layer, P. G., & Thielemann, C. (2015). Electrophysiologic and cellular characteristics of cardiomyocytes after X-ray irradiation. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 777, 1-10.
2 Oster, S., Daus, A. W., Erbes, C., Goldhammer, M., Bochtler, U., & Thielemann, C. (2016). Long-term electromagnetic exposure of developing neuronal networks: A flexible experimental setup. Bioelectromagnetics, 37(4), 264-278.
3 Nick, C., & Thielemann, C. (2014). Are Carbon Nanotube Microelectrodes Manufactured from Dispersion Stable Enough for Neural Interfaces?. BioNanoScience, 4(3), 216-225.
4 Regalia, G., Coelli, S., Biffi, E., Ferrigno, G., & Pedrocchi, A. (2016). A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis. Computational Intelligence and Neuroscience, 2016.
5 Frieß, J., Heselich, A., Ritter, S., Layer, P. G., & Thielemann, C. (2014). Electrophysiologic and molecular characteristics of cardiomyocytes after heavy ion irradiation in the frame of the ESA IBER-10 program. Journal of radiation research, 55(suppl 1), i40-i41.
6 Frieß, J., Heselich, A., Ritter, S., Layer, P. G., & Thielemann, C. Effects of X-rays and titanium ions on cardiomyocyte cultures.
7 Daus, A. W. (2013). Zellbasierte Biosensoren--Hybride Systeme aus dreidimensionalen in vitro Netzwerken und Mikroelektroden Arrays.
8 Frieß, J. L., Heselich, A., Ritter, S., Layer, P. G., & Thielemann, C. Combined effects of ionizing radiation and cardio-active drugs on human iPSC-derived cardiomyocytes.
9 Frieß, J. L. (2016). Einfluss ionisierender Strahlung auf die elektrophysiologischen Eigenschaften kardialer Zellen.
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Mr. Christoph Nick
University of Applied Sciences Aschaffenburg - Germany
Mr. Michael Goldhammer
University of Applied Sciences Aschaffenburg - Germany
Mr. Robert Bestel
University of Applied Sciences Aschaffenburg - Germany
Mr. Frederik Steger
University of Applied Sciences Aschaffenburg - Germany
Dr. Andreas Daus
University of Applied Sciences Aschaffenburg - Germany
Professor Christiane Thielemann
University of Applied Sciences Aschaffenburg - Germany