Particle tracking is a key issue in the quantitative analysis of intracellular dynamic processes and many computational algorithms have been developed to execute this task (Chenouard et al. 2014). In the computational methods used to this purpose the spatial issue is related to the detection of particle coordinates and the temporal issue is related to particles tracking by analyzing, frame by frame, the dataset of time series images. We apply a computer algorithm (Applegate et al. 2011) to track microtubule plus ends labeled by the +tip protein EB1, producing visible comets in time series. We analyzed the descriptive statistics of the comets velocity in time series images ob-tained from confocal microscopy. Finally, we tested the speed differences of the com-ets in different zones of the cell.

Quantitative analysis of microtubule comets: differences between boundary and inside comets velocity from confocal time series images

SCIASCIA, Ivan Arcangelo;GIORGETTI, ALEJANDRO;
2014

Abstract

Particle tracking is a key issue in the quantitative analysis of intracellular dynamic processes and many computational algorithms have been developed to execute this task (Chenouard et al. 2014). In the computational methods used to this purpose the spatial issue is related to the detection of particle coordinates and the temporal issue is related to particles tracking by analyzing, frame by frame, the dataset of time series images. We apply a computer algorithm (Applegate et al. 2011) to track microtubule plus ends labeled by the +tip protein EB1, producing visible comets in time series. We analyzed the descriptive statistics of the comets velocity in time series images ob-tained from confocal microscopy. Finally, we tested the speed differences of the com-ets in different zones of the cell.
Microbules dynamics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/909388
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