Abstract
In studies of the brain structure at the microscopic level the analysis of microscopic images is playing currently a dominant role. Insight into the processes of structural neuronal plasticity may be a key step towards understanding the bases of various neurodegenerative diseases. Almost in each experiment, there is a need for a quantitative analysis of brain tissue images. Such analysis often requires using elaborate computational tools, due to the rich structure present in the observed images. We review the most important problems encountered in the processes of analysis of fluorescent confocal microscopy images. Each of these problems suggests a dedicated computational approach.
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Acknowledgements
The authors thank Ania Wilczyñska for help in preparing Fig. 1, and Marcelina Hajnrych for analysis of images. This work was supported by the National Science Centre Dec-2011/01/D/NZ3/00163, 7873/B/P01/2011/40, and the European Regional Development Fund POIG 01.01.02-00-008/08.
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Ruszczycki, B., Bijata, M., Walczak, A., Wilczyński, G., Włodarczyk, J. (2014). Contemporary Problems in Quantitative Image Analysis in Structural Neuronal Plasticity. In: Saha, P., Maulik, U., Basu, S. (eds) Advanced Computational Approaches to Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41539-5_7
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