OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
Single-molecule localisation microscopy (SMLM) allows the mapping of the positions of individual molecules in cells with nanometre precision. As such, the data format is a point cloud, rather than a conventional microscopy image. We have developed a range of tools for extracting biologically relevant descriptors of the distribution of biomolecules from SMLM data sets, principally, the degree of molecular clustering. Here, we demonstrate a community-led approach to the evaluation of the performance of these cluster analysis algorithms. Additionally, we have launched a publically accessible, curated database for SMLM data storage, sharing and dissemination. A new algorithm for comparing the similarity of point clouds allows searching this databases for experimental conditions that show similar statistical character.