Alain Trouvé (CNRS, Centre Borelli)
Tuesday, May 30, 2023, 4pm
Shaping metrics and spaces in computational anatomy: few lessons from spatial-transcriptomics data.
The emergence of spatial transcriptomics data is opening a new window on biological tissue analysis and understanding at the micron scale adding several orders of magnitude to standard imaging devices.
In this talk, I will present some of the challenges we have to face to represent and manipulate such datasets from a shape space and riemannian point of view in the larger context of computational anatomy as well as the current framework we are exploring. Deploying such a geometrical framework on real data can be bumpy and the promising experiments in 2D and 3D done so far are clearly pointing to some underrated issues by the naive geometer that could be interesting to discuss.