FYI The Spatial Analysis for Biological Imaging workshop will be held at the Department of Mathematics, Imperial College London, South Kensington Campus, London, UK between March 29-30, 2023. 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. Confirmed invited speakers: * Carolina Wählby, Uppsala University * Dylan Owen, University of Birmingham * Thibault Lagache, Institut Pasteur * Anthea Monod, Imperial College London * Anca Grapa, Institute of Cancer Research, London * Daniel Davis, Imperial College London * Sripad Ram, Pfizer, San Diego Contributed talks and posters are very welcome, and abstract submission is currently open. 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).