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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. Among the neuronal structures that show morphologi- cal plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular com- munication and the associated calcium-bursting behaviour. In vitro cultured neu- ronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardisation of both image acquisition and image analysis, it has become possible to extract statistically relevant readout 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.
Keywords
FLUORESCENCE MICROSCOPY IMAGES, PLURIPOTENT STEM-CELLS, DENDRITIC SPINES, ACTION-POTENTIALS, MORPHOLOGICAL ANALYSIS, NEURITE OUTGROWTH, ARRAY TOMOGRAPHY, LIGHT-MICROSCOPY, RECONSTRUCTION, DISORDERS

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MLA
Detrez, Jan R, Peter Verstraelen, Titia Gebuis, et al. “Image Informatics Strategies for Deciphering Neuronal Network Connectivity.” Ed. Winnok De Vos, Sebastian Munck, & Jean-Pierre Timmermans. Advances in Anatomy Embryology and Cell Biology 219 (2016): 123–148. Print.
APA
Detrez, J. R., Verstraelen, P., Gebuis, T., Verschuuren, M., Kuijlaars, J., Langlois, X., Nuydens, R., et al. (2016). Image informatics strategies for deciphering neuronal network connectivity. (Winnok De Vos, S. Munck, & J.-P. Timmermans, Eds.)Advances in Anatomy Embryology and Cell Biology, 219, 123–148.
Chicago author-date
Detrez, Jan R, Peter Verstraelen, Titia Gebuis, Marlies Verschuuren, Jacobine Kuijlaars, Xavier Langlois, Rony Nuydens, Jean-Pierre Timmermans, and Winnok De Vos. 2016. “Image Informatics Strategies for Deciphering Neuronal Network Connectivity.” Ed. Winnok De Vos, Sebastian Munck, and Jean-Pierre Timmermans. Advances in Anatomy Embryology and Cell Biology 219: 123–148.
Chicago author-date (all authors)
Detrez, Jan R, Peter Verstraelen, Titia Gebuis, Marlies Verschuuren, Jacobine Kuijlaars, Xavier Langlois, Rony Nuydens, Jean-Pierre Timmermans, and Winnok De Vos. 2016. “Image Informatics Strategies for Deciphering Neuronal Network Connectivity.” Ed. Winnok De Vos, Sebastian Munck, and Jean-Pierre Timmermans. Advances in Anatomy Embryology and Cell Biology 219: 123–148.
Vancouver
1.
Detrez JR, Verstraelen P, Gebuis T, Verschuuren M, Kuijlaars J, Langlois X, et al. Image informatics strategies for deciphering neuronal network connectivity. De Vos W, Munck S, Timmermans J-P, editors. Advances in Anatomy Embryology and Cell Biology. Cham, Switzerland: Springer; 2016;219:123–48.
IEEE
[1]
J. R. Detrez et al., “Image informatics strategies for deciphering neuronal network connectivity,” Advances in Anatomy Embryology and Cell Biology, vol. 219, pp. 123–148, 2016.
@article{8040739,
  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. Among the neuronal structures that show morphologi- cal plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular com- munication and the associated calcium-bursting behaviour. In vitro cultured neu- ronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardisation of both image acquisition and image analysis, it has become possible to extract statistically relevant readout 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.},
  author       = {Detrez, Jan R and Verstraelen, Peter and Gebuis, Titia and Verschuuren, Marlies and Kuijlaars, Jacobine and Langlois, Xavier and Nuydens, Rony and Timmermans, Jean-Pierre and De Vos, Winnok},
  editor       = {De Vos, Winnok and Munck, Sebastian and Timmermans, Jean-Pierre},
  isbn         = {9783319285474},
  issn         = {0301-5556},
  journal      = {Advances in Anatomy Embryology and Cell Biology},
  keywords     = {FLUORESCENCE MICROSCOPY IMAGES,PLURIPOTENT STEM-CELLS,DENDRITIC SPINES,ACTION-POTENTIALS,MORPHOLOGICAL ANALYSIS,NEURITE OUTGROWTH,ARRAY TOMOGRAPHY,LIGHT-MICROSCOPY,RECONSTRUCTION,DISORDERS},
  language     = {eng},
  pages        = {123--148},
  publisher    = {Springer},
  title        = {Image informatics strategies for deciphering neuronal network connectivity},
  url          = {http://dx.doi.org/10.1007/978-3-319-28549-8_5},
  volume       = {219},
  year         = {2016},
}

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