1 code implementation • 13 Mar 2023 • Lisa Balsollier, Frédéric Lavancier, Jean Salamero, Charles Kervrann
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.
1 code implementation • 10 Mar 2021 • Guillaume Potier, Frédéric Lavancier, Stephan Kunne, Perrine Paul-Gilloteaux
Correlative imaging workflows are now widely used in bioimaging and aims to image the same sample using at least two different and complementary imaging modalities.
1 code implementation • 13 Feb 2020 • Frédéric Lavancier, Ronan Le Guével
To formalise this framework, we introduce spatial birth-death-move processes, where the birth and death dynamics depends on the current spatial configuration of the population and where individuals can move during their lifetime according to a continuous Markov process with possible interactions. We consider non-parametric kernel estimators of their birth and death intensity functions.
Probability Statistics Theory Methodology Statistics Theory
no code implementations • 22 Feb 2013 • Patrick Héas, Frédéric Lavancier, Souleymane Kadri-Harouna
Nevertheless, the associated maximum a posteriori involves a fractional Laplacian operator which is delicate to implement in practice.
