Event Abstract Back to Event Automated image analysis of neuroblastoma cell networks cultured on microelectrode array plates Heidi Teppola1*, Jyrki Selinummi1, Jertta-Riina Sarkanen1, Antti Pettinen1, Tuula O. Jalonen2, Olli Yli-Harja1 and Marja-Leena Linne1 1 Tampere University of Technology, Finland 2 University of Jyväskylä, Finland In order to form functional, long-term neuronal networks of cells for electrophysiological microelectrode array recordings (MEA; MultiChannel Systems, Reutlingen, Germany), the first important step is to optimize cell growth on MEA plates. In this work, human SH-SY5Y neuroblastoma cells were cultured on MEA plates treated with coating agents poly-D-lysine (PDL), poly-L-lysine (PLL), polyethyleneimine (PEI) with laminin, and laminin alone. Additionally, to differentiate the SH-SY5Y cells to form electrically active long-term networks, they were also treated with all-trans-retinoic acid (RA) and cholesterol (CHOL). The SH-SY5Y cell line was selected as test application because of its differentiation to neuron-like phenotype and its active synaptic vesicle recycling after RA+CHOL treatment. The ultimate goal of this work was to find the best alternative of the various coating agents by following cell growth, changes in morphology, and the level of differentiation. Instead of manual inspection cell growth was estimated by specifically developed image processing algorithms which automatically detect the area occupied by cells from each of the microscopy images. First, the image was segmented into small regions using Quad-tree segmentation (Jain R. et al. 1995, Machine Vision, McGraw-Hill, Inc., NY). These regions were then, based on the intensities and size of the regions, labeled into four classes: electrodes, cells, background, and artifacts (see figure). The analysis procedure was implemented in the eCognition 5.0 image analysis platform (Definiens AG, München, Germany). The effects of the coating treatments on cell differentiation and the presence of synaptic communication on MEA plates were verified with AM1-43 fluorescent staining of the synaptic vesicle recycling. The results show that neuroblastoma cells attach on MEA plates with all of the used coating agents, but based on the automated analysis there is less cell growth with PEI+laminin coating and with no coating. Furthermore, the maturation, morphology, and distribution of the cells are more neuron-like with PEI+laminin than with any other treatments. We conclude that the MEA coating agents have a strong impact on cell morphology, growth, and viability. Based on our results, more emphasis should be put on the role of coating agents in determining the structure, function, and electrophysiological properties of the created neuronal networks. For computational modeling purposes there is an increasing need for means to clarify the relationships between the structure and the synaptic connectivity of a neural network, as well as the complexity of recorded microelectrode array signals. The here presented automated image analysis procedure supports the design of structurally relevant biological neural networks for modeling. Beecher Instruments Inc, Sun Prairie, WI, USA is acknowledged for guidance in image analysis. tn_image 3 conference image 3 conference Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008. Presentation Type: Poster Presentation Topic: Neuroimaging Citation: Teppola H, Selinummi J, Sarkanen J, Pettinen A, Jalonen TO, Yli-Harja O and Linne M (2008). Automated image analysis of neuroblastoma cell networks cultured on microelectrode array plates. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.063 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 25 Jul 2008; Published Online: 25 Jul 2008. * Correspondence: Heidi Teppola, Tampere University of Technology, Tampere, Finland, heidi.teppola@tuni.fi Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract Supplemental Data The Authors in Frontiers Heidi Teppola Jyrki Selinummi Jertta-Riina Sarkanen Antti Pettinen Tuula O Jalonen Olli Yli-Harja Marja-Leena Linne Google Heidi Teppola Jyrki Selinummi Jertta-Riina Sarkanen Antti Pettinen Tuula O Jalonen Olli Yli-Harja Marja-Leena Linne Google Scholar Heidi Teppola Jyrki Selinummi Jertta-Riina Sarkanen Antti Pettinen Tuula O Jalonen Olli Yli-Harja Marja-Leena Linne PubMed Heidi Teppola Jyrki Selinummi Jertta-Riina Sarkanen Antti Pettinen Tuula O Jalonen Olli Yli-Harja Marja-Leena Linne Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. 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