A collaborative approach to mapping the distribution of cell surface proteins
There is no virtual option for this seminar.
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.
Date:
4 September 2023, 12:00 (Monday, 20th week, Trinity 2023)
Venue:
Kennedy Institute of Rheumatology, Headington OX3 7FY
Venue Details:
Bernard Sunley Lecture Theatre
Speaker:
Professor Dylan Owen (Universitiy of Birmingham)
Organising department:
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
Organisers:
Doris Chan (Kennedy Institute of Rheumatology),
Jo Silva (NDORMS)
Organiser contact email address:
doris.chan@kennedy.ox.ac.uk
Host:
Michael Dustin (Kennedy Institute, University of Oxford)
Part of:
Kennedy Institute Seminars
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Doris Chan
