A generative model to simulate spatiotemporal dynamics of biomolecules in cells
Lisa Balsollier,
Frédéric Lavancier,
Jean Salamero
et al.
Abstract:Generators of space-time dynamics in bioimaging have become essential to build ground truth datasets for image processing algorithm evaluation such as biomolecule detectors and trackers, as well as to generate training datasets for deep learning algorithms. In this contribution, we leverage a stochastic model, called birth-death-move (BDM) point process, in order to generate joint dynamics of biomolecules in cells. This particle-based stochastic simulation method is very flexible and can be seen as a generaliz… Show more
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