ESTIMATION OF PARAMETERS IN A PLANAR SEGMENT PROCESS WITH A BIOLOGICAL APPLICATION

The paper deals with modeling of segment systems in a bounded planar set (a cell) by means of random segment processes. Two models with a density with respect to the Poisson process are presented. In model I interactions are given by the number of intersections, model II includes the length distribu...

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Bibliographic Details
Published in:Image analysis & stereology 2017-01, Vol.36 (1), p.25-33
Main Authors: Benes, Viktor, Vecera, Jakub, Eltzner, Benjamin, Wollnik, Carina, Rehfeldt, Florian, Kralova, Veronika, Huckemann, Stephan
Format: Article
Language:English
Subjects:
parameter estimation
random segment process
stem cell
stress fibre
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Summary:The paper deals with modeling of segment systems in a bounded planar set (a cell) by means of random segment processes. Two models with a density with respect to the Poisson process are presented. In model I interactions are given by the number of intersections, model II includes the length distribution and takes into account distances from the centre of the cell. The estimation of parameters of the models is suggested based on Takacz-Fiksel method. The method is tested first using simulated data. Further the real data from fluorescence imaging of stress fibres in mesenchymal human stem cells are evaluated. We apply model II which is inhomogeneous. The degree-of-fit testing of the model using various characteristics yields quite satisfactory results.
ISSN:1580-3139
1854-5165
DOI:10.5566/ias.1627