Abstract
Brain function relies on an intricate network of highly dynamic neuronal connections that rewires dramatically under the impulse of various external cues and pathological conditions. Amongst the neuronal structures that show morphological plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular communication and the associated calcium bursting behaviour. In vitro cultured neuronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardization of both image acquisition and image analysis, it has become possible to extract statistically relevant readouts from such networks. Here, we focus on the current state-of-the-art in image informatics that enables quantitative microscopic interrogation of neuronal networks. We describe the major correlates of neuronal connectivity and present workflows for analysing them. Finally, we provide an outlook on the challenges that remain to be addressed, and discuss how imaging algorithms can be extended beyond in vitro imaging studies.
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Acknowledgements
This work was supported by the Agency for Innovation by Science and Technology in Flanders (IWT Baekeland fellowship IWT_140775, O&O IWT_150003), the Flemish Institute for Scientific Research (FWO PhD Fellowship 11ZF116N) and the University of Antwerp (UA_29267, UA_29256). We further would like to acknowledge Dr. Steffen Jaensch and Dr. Andreas Ebneth for their valuable comments and discussions.
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Detrez, J.R. et al. (2016). Image Informatics Strategies for Deciphering Neuronal Network Connectivity. In: De Vos, W., Munck, S., Timmermans, JP. (eds) Focus on Bio-Image Informatics. Advances in Anatomy, Embryology and Cell Biology, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-28549-8_5
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