Tracking of cell nuclei movement and division in time series of 3D images
Presented by Mr. Róbert ŠPIR
Type: Oral presentation
Track: Mathematical Methods in Image Processing
We present a method for tracking the cell movement and divisions in early zebrafish embryo development. First, we create an approximate segmentation of 4D tubular structures representing time-space cell nuclei shapes. Then we compute a combined 4D distance function d1 using all cell nuclei identifiers in all time steps and a 4D distance function d2 from the boundaries of the segmented tubular structures. Using the difference of these two distance functions d1-d2 we construct a potential field in which a backtracking in the steepest descent direction gives cell trajectories. The computational results, their visualization and further analysis will be presented.