Paper Info
Title
Neurons of the Human Dentate Nucleus: Box-Count Method in the Quantitative Analysis of Cell Morphology
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.
Year
DOI
Venue
2013
10.1109/CSCS.2013.33
CSCS '13 Proceedings of the 2013 19th International Conference on Control Systems and Computer Science
Keywords
Field
DocType
dentate nucleus,neuron subtypes,box dimension,dendritic field,box-count method,cell morphology,dendritic field area,human dentate nucleus,binary box dimension,fractal analysis,binary image,quantitative analysis,dentate neuron,neuronal morphology,fractals,neurophysiology,correlation,shape,morphology
Fractal analysis,Computer vision,Cell morphology,Dentate nucleus,Biological system,Neurophysiology,Binary image,Artificial intelligence,Quantitative analysis (chemistry),Neuron,Mathematics,Dendrite
Conference
ISSN
Citations 
PageRank 
2379-0474
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Dusica L. Maric100.34
Nebojsa T. Milosevic253.07
Herbert F. Jelinek347736.78
Katarina Rajkovic401.01