• DocumentCode
    3650576
  • Title

    Neurons of the Human Dentate Nucleus: Box-Count Method in the Quantitative Analysis of Cell Morphology

  • Author

    Duica L. Maric;Neboja T. Miloevic;Herbert F. Jelinek;Katarina Rajkovic

  • Author_Institution
    Dept. of Anatomy, Univ. of Novi Sad, Novi Sad, Serbia
  • fYear
    2013
  • Firstpage
    319
  • Lastpage
    324
  • 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.
  • Keywords
    "Neurons","Shape","Fractals","Morphology","Correlation","Filling","Educational institutions"
  • Publisher
    ieee
  • Conference_Titel
    Control Systems and Computer Science (CSCS), 2013 19th International Conference on
  • Print_ISBN
    978-1-4673-6140-8
  • Type

    conf

  • DOI
    10.1109/CSCS.2013.33
  • Filename
    6569283