Cellular migration plays a key role in the development of the neural system. In order to get a better insight
of all the phenomena that take place in such development, a team of neurophysicians from the university of Turin
is studying in-vitro the movements of young neurons. The observations are made by means of sequences of images
taken by a phase contrast microscope. Paolo Ariano and his team postulate that the neurons are not moving randomly
but according the Langevin equation. They are thus interested in an automatic way to get the soma (the cellular body
of neuron) trajectories. Image processing is therfore relevant in order to analyze the big quantity of information.
Two methods are implemented and tested in order to process the multi-target tracking of neurons. The first method is very
intuitive and uses the Watershed by flooding 2D as segmentation algorithm whereas the second technique is more innovative.
3D (2D + time) segmentation is processed on subvolumes by means of the Watershed by flooding 3D algorithm. By such method,
the 3D tube-shaped basins correspond directly to the wanted trajectories.
The innovative tracking algorithm is working well and relatively fast whereas the intuitive method is not well adapted to
the case of soma junctions or separations. Unfortunately, the conditions to use 3D segmentation are limited which make the
method not appropriate to other types of images.