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

DL Maric; Herbert Jelinek; NT Milosevic; K Rajkovic

doi:10.1109/CSCS.2013.33

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

DL Maric, Herbert Jelinek, NT Milosevic, K Rajkovic

Research output: Book chapter/Published conference paper › Conference paper › peer-review

2 Citations (Scopus)

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	English
Title of host publication	CSCS 2013
Subtitle of host publication	19th Proceedings
Place of Publication	United States
Publisher	Institute of Electrical and Electronics Engineers
Pages	319-324
Number of pages	6
ISBN (Electronic)	9781467361408
DOIs	https://doi.org/10.1109/CSCS.2013.33
Publication status	Published - 2013
Event	IEEE International Conference on Control Systems and Computer Science (CSCS) - Bucharest, Romania Duration: 29 May 2013 → 31 May 2013

Conference

Conference	IEEE International Conference on Control Systems and Computer Science (CSCS)
Period	29/05/13 → 31/05/13

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10.1109/CSCS.2013.33

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@inproceedings{6d78ed758ae74e419b2c3f31a6ce3a59,

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 = "DL Maric and Herbert Jelinek and NT Milosevic and K Rajkovic",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = United States: Institute of Electrical and Electronics Engineers, 2013. Event dates (773o) = 29-31 May, 2013; Parent title (773t) = IEEE International Conference on Control Systems and Computer Science (CSCS).; IEEE International Conference on Control Systems and Computer Science (CSCS) ; Conference date: 29-05-2013 Through 31-05-2013",

year = "2013",

doi = "10.1109/CSCS.2013.33",

language = "English",

pages = "319--324",

booktitle = "CSCS 2013",

publisher = "Institute of Electrical and Electronics Engineers",

}

Maric, DL, Jelinek, H, Milosevic, NT & Rajkovic, K 2013, Neurons of the human dentate nucleus: box-count method in the quantitative analysis of cell morphology. in CSCS 2013: 19th Proceedings. Institute of Electrical and Electronics Engineers, United States, pp. 319-324, IEEE International Conference on Control Systems and Computer Science (CSCS), 29/05/13. https://doi.org/10.1109/CSCS.2013.33

TY - GEN

T1 - Neurons of the human dentate nucleus

T2 - IEEE International Conference on Control Systems and Computer Science (CSCS)

AU - Maric, DL

AU - Jelinek, Herbert

AU - Milosevic, NT

AU - Rajkovic, K

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = United States: Institute of Electrical and Electronics Engineers, 2013. Event dates (773o) = 29-31 May, 2013; Parent title (773t) = IEEE International Conference on Control Systems and Computer Science (CSCS).

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

U2 - 10.1109/CSCS.2013.33

DO - 10.1109/CSCS.2013.33

M3 - Conference paper

SP - 319

EP - 324

BT - CSCS 2013

PB - Institute of Electrical and Electronics Engineers

CY - United States

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

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