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Advances in Intelligent Control Systems and Computer Science pp 177–189Cite as

Box-Counting and Multifractal Analysis in Neuronal and Glial Classification

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 187))

Abstract

Fractal analysis in the neurosciences has advanced over the past twenty years. The fractal dimension, besides its ability to discriminate among different cell types, can work as a reliable parameter in cell classification. A qualitative analysis of the morphology of neurons and glia cell types involves a detailed description of the structure and features of cells, and accordingly, their classification into defined classes and types. This paper outlines how fractal analysis can be used for further quantitative classification of these cell types using box-counting and multifractal analysis.

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Authors and Affiliations

  1. Centre for Research in Complex Systems and School of Community Health, Charles Sturt University, Albury, Australia

    Herbert F. Jelinek & Audrey Karperien

  2. Department of Biophysics, Medical Faculty, University of Belgrade, KCS-Institute of biophysics pp. 122, 11129, Belgrade102, Serbia

    Nebojša T. Milošević

  3. Department of Anatomy, Medical Faculty, University of Novi Sad, Hajduk Veljkova 3, 21000, Novi Sad, Serbia

    Bojana Krstonošić

Authors
  1. Herbert F. Jelinek
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  2. Nebojša T. Milošević
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  3. Audrey Karperien
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  4. Bojana Krstonošić
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Correspondence to Herbert F. Jelinek .

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Editors and Affiliations

  1. , Control Engineering and Comp.Sci., University "POLITEHNICA" of Bucharest, Splaiul Independentei 313, Bucharest, 060042, Romania

    Loan Dumitrache

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Jelinek, H.F., Milošević, N.T., Karperien, A., Krstonošić, B. (2013). Box-Counting and Multifractal Analysis in Neuronal and Glial Classification. In: Dumitrache, L. (eds) Advances in Intelligent Control Systems and Computer Science. Advances in Intelligent Systems and Computing, vol 187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32548-9_13

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  • DOI: https://doi.org/10.1007/978-3-642-32548-9_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32547-2

  • Online ISBN: 978-3-642-32548-9

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