This workshop will be held at the Department of Mathematics, Imperial College London, South Kensington Campus, London, UK between March 29-30, 2023.
[Please note this event is not organised by the CRUK Convergence Science Centre, see below for more info]
Workshop Aim: Imaging technologies play an ever increasing role in biomedical and clinical investigations as they allow the observation of important spatial processes. While such imaging approaches have undergone major technological developments through, for example, the development of novel detectors and sample preparation approaches, the analysis of the resulting data has often lagged behind. This is even more problematic as the amount of data that can and is being generated is very large.
Methods for spatial analysis, including spatial statistics, machine learning, and topological data analysis, hold significant promise to be able to resolve many outstanding analytical problems. The purpose of this workshop is to provide a means for leading researchers in bioimaging, digital pathology and histology to present their latest findings and also to, for the first time, bring these communities together as it is expected that exchange of ideas could be of major benefit to all sides.
Carolina Wählby, Uppsala University (Visualization, interaction, and unsupervised quantification – key components in large-scale spatial omics)
Dylan Owen, University of Birmingham (Community-based, nanoscale mapping of biomolecules in cells)
Thibault Lagache, Institut Pasteur (Interrogating the organization of biological processes at different scales with spatial statistics)
Anthea Monod, Imperial College London (Topological imaging summary statistics for GBM)
Anca Grapa, Institute of Cancer Research, London (Characterization of the growth pattern landscape in lung adenocarcinoma using spatial intermixing networks)
Daniel Davis, Imperial College London
Sripad Ram, Pfizer, San Diego
Susan Cox, King’s College London
Ed Cohen, Imperial College London (Spatial point patterns: 101 to manifolds)
Lekha Patel, Sandia National Laboratories, New Mexico (Spatial-temporal modeling for nanoscale resolvement of photo-switching fluorophores)
Plus many contributed abstracts.
We still have a limited number of spaces left and are still accepting abstracts for contributed talks and posters. Further details, including registration, can be found at our website https://www.quantitativebioimaging.com/qbi2023/sabi2023/
Places are very limited. Book now to avoid disappointment.
This workshop is generously supported by the Quantitative Sciences Research Institute (QSRI), Imperial College London, and in collaboration with the Quantitative Bioimaging Society (QBI).