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 paperConference paper

1 Citation (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 languageEnglish
Title of host publicationCSCS 2013
Subtitle of host publication19th Proceedings
Place of PublicationUnited States
PublisherInstitute of Electrical and Electronics Engineers
Pages319-324
Number of pages6
ISBN (Electronic)9781467361408
DOIs
Publication statusPublished - 2013
EventIEEE International Conference on Control Systems and Computer Science (CSCS) - Bucharest, Romania
Duration: 29 May 201331 May 2013

Conference

ConferenceIEEE International Conference on Control Systems and Computer Science (CSCS)
Period29/05/1331/05/13

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    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 (pp. 319-324). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CSCS.2013.33