Neurons of the human dentate nucleus: Box-count method in the quantitative analysis of cell morphology

Dušica L. Marić; Nebojša T. Milošević; Herbert F. Jelinek; Katarina Rajkovic

doi:10.1109/CSCS.2013.33

Neurons of the human dentate nucleus: Box-count method in the quantitative analysis of cell morphology

Dušica L. Marić
, Nebojša T. Milošević
, Herbert F. Jelinek
, Katarina Rajkovic

Biomedical Engineering & Biotechnology

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

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.

Original language	British English
Pages	319-324
Number of pages	6
DOIs	https://doi.org/10.1109/CSCS.2013.33
State	Published - 2013
Event	19th International Conference on Control Systems and Computer Science, CSCS 2013 - Bucharest, Romania Duration: 29 May 2013 → 31 May 2013

Conference

Conference	19th International Conference on Control Systems and Computer Science, CSCS 2013
Country/Territory	Romania
City	Bucharest
Period	29/05/13 → 31/05/13

Keywords

Box dimension
Cerebellar cortex
Fractal analysis
Neuronal Morphology
Two dimensional images

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10.1109/CSCS.2013.33

Cite this

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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.",

keywords = "Box dimension, Cerebellar cortex, Fractal analysis, Neuronal Morphology, Two dimensional images",

author = "Mari{\'c}, \{Du{\v s}ica L.\} and Milo{\v s}evi{\'c}, \{Neboj{\v s}a T.\} and Jelinek, \{Herbert F.\} and Katarina Rajkovic",

year = "2013",

doi = "10.1109/CSCS.2013.33",

language = "British English",

pages = "319--324",

note = "19th International Conference on Control Systems and Computer Science, CSCS 2013 ; Conference date: 29-05-2013 Through 31-05-2013",

}

Neurons of the human dentate nucleus: Box-count method in the quantitative analysis of cell morphology. / Marić, Dušica L.; Milošević, Nebojša T.; Jelinek, Herbert F. et al.
2013. 319-324 Paper presented at 19th International Conference on Control Systems and Computer Science, CSCS 2013, Bucharest, Romania.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Neurons of the human dentate nucleus

T2 - 19th International Conference on Control Systems and Computer Science, CSCS 2013

AU - Marić, Dušica L.

AU - Milošević, Nebojša T.

AU - Jelinek, Herbert F.

AU - Rajkovic, Katarina

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Box dimension

KW - Cerebellar cortex

KW - Fractal analysis

KW - Neuronal Morphology

KW - Two dimensional images

UR - https://www.scopus.com/pages/publications/84883321785

U2 - 10.1109/CSCS.2013.33

DO - 10.1109/CSCS.2013.33

M3 - Paper

AN - SCOPUS:84883321785

SP - 319

EP - 324

Y2 - 29 May 2013 through 31 May 2013

ER -

Neurons of the human dentate nucleus: Box-count method in the quantitative analysis of cell morphology

Abstract

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Keywords

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