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
Link To Document :
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