Application of fractal analysis to neuronal dendritic arborisation patterns of the monkey dentate nucleus

Department of Biophysics, School of Medicine, University of Belgrade, Belgrade, Serbia.
Neuroscience Letters (Impact Factor: 2.03). 10/2007; 425(1):23-7. DOI: 10.1016/j.neulet.2007.08.009
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ABSTRACT The deep nuclei of the cerebellar cortex have not yet received adequate exploratory attention. An exception is represented by the pioneering work of Chan-Palay, published in 1977, on the dentate nucleus morphology. She has classified each individual cell in the dentatus of the monkey into one of six types. Although fractal analysis is presently the most prominent quantitative method for morphometric neuronal studies, no article referring to applications of this method to the analysis of cell types of the dentate nucleus has so far been published. In the present study we apply fractal analysis to this unsolved problem and calculate the fractal dimension for each dendritic arbour of a neuron. We will hereby prove that by application of fractal analysis to the dendritic arbours of these cells whilst ignoring other neuronal attributes allows for clear discrimination of only three cell types.

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Available from: Dusan Ristanovic, Apr 27, 2014
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    • "Fractal dimension is the most important indicator of structural complexity of the analyzed object. In biomedical research it has so far been successfully applied to quantify structural properties of various tissues and organs, such as the liver, lungs, brain and kidney (Canals et al., 2000; Dioguardi et al., 2006; King et al., 2010; Milosevic et al., 2007; Pantic et al., 2013). In cell biology, fractal dimension of nuclear structure was shown to be a sensitive parameter in evaluation of early stages of programmed cell death (Castelli & Losa, 2001). "
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    ABSTRACT: Recent studies have suggested that silver nanoparticles (AgNPs) may affect cell DNA structure in in vitro conditions. In this paper, we present the results indicating that AgNPs change nuclear complexity properties in isolated human epithelial buccal cells in a time-dependent manner. Epithelial buccal cells were plated in special tissue culture chamber / slides and were kept at 37°C in an RPMI 1640 cell culture medium supplemented with L-glutamine. The cells were treated with colloidal silver nanoparticles suspended in RPMI 1640 medium at the concentration 15 mg L(-1) . Digital micrographs of the cell nuclei in a sample of 30 cells were created at five different time steps: before the treatment (controls), immediately after the treatment, as well as 15 , 30 and 60 min after the treatment with AgNPs. For each nuclear structure, values of fractal dimension, lacunarity, circularity, as well as parameters of grey level co-occurrence matrix (GLCM) texture, were determined. The results indicate time-dependent reduction of structural complexity in the cell nuclei after the contact with AgNPs. These findings further suggest that AgNPs, at concentrations present in today's over-the-counter drug products, might have significant effects on the cell genetic material.
    Journal of Microscopy 10/2013; 252(3). DOI:10.1111/jmi.12091 · 2.33 Impact Factor
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    • "The measurements of several quantities have already been documented [9] [24] [25] [26] [27]. Among them, the mean body diameter and dendritic field diameter were commonly used as measures for the cell body size and dendritic field dimension respectively. "
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    ABSTRACT: The morphology of neurons from the human dentate nucleus was analyzed estimating the size and shape of the dendritic field, shape of the neuron, space-filling property and the degree of dendrite aberrations. Among them, the last three morphological properties were investigated using the most popular technique of fractal analysis: the box-count method. The box dimensions of binary images and dendritic field area were statistically investigated in order to test whether the binary box dimension can quantify the size of the neuron. The same analysis was carried out using the box dimension of outline images and image circularity. The parameters, presented in this study have proved to be a useful means for quantifying the morphology of dentate neurons as they provide a robust means of differentiating between neuron subtypes in the dentate nucleus. The findings of the present study are in accordance with previous qualitative data.
    Proceedings of the 2013 19th International Conference on Control Systems and Computer Science; 05/2013
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    • "To our knowledge, only Hayaran et al. [7], has quantified the dendritic proliferation of the hemispheric cells at different gestation age by adopting the Sholl analysis and drawing corresponding histograms. In the present study we have quantified the dendritic branching complexity using the fractal dimension, the maximum number of intersections and the critical radius, since the neuronal patterns are most commonly analyzed nowadays by fractal analysis and modified Sholl analysis [8] [12] [13] [16]. Our study undoubtedly shows that four types of large neurons have different dendritic branching pattern (Table 2). "
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    ABSTRACT: The dentate nucleus represents the most lateral of the four cerebellar nuclei that serve as a major relay centres for fibres coming from the cerebellar cortex. Although many relevant findings regarding to the three-dimensional structure, the neuronal morphology and the cytoarchitectural development of the dentate nucleus have been presented so far, very little quantitative information has been collected to further explain several types of large neurons in the dentate nucleus. In this study we quantified the morphology of the large dentate neurons in the adult human taking, into account seven morphometric parameters that describe the main properties of the cell soma, the dendritic field and the dendritic branching pattern. Since the lateral cerebellar nucleus in the cat and other lower mammals is homologous to the dentate nucleus in primates and man, we have classified our sample of large neurons in accordance with the shape of the cell body, the dendritic arborization and their location within the dentate nucleus. By performing the appropriate statistical analysis, we have proved that our sample of human dentate neurons can be classified into four distinct types. In that sense, our quantitative analysis verifies the validity of previous qualitative conclusions concerning the large neurons in the developing human dentate nucleus. Furthermore, the present study represents the first attempt to perform a quantitative analysis and cell classification of the large projection neurons in the adult human dentate nucleus.
    Neuroscience Letters 10/2009; 468(1):59-63. DOI:10.1016/j.neulet.2009.10.063 · 2.03 Impact Factor
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