Extracting biologically relevant, quantitative information from SMLM data with applications in immune cells
Dr. Dylan Owen
University of Birmingham
While single-molecule localisation microscopy (SMLM) can generate images of biological samples with nanometer resolution, challenges still remain in extracting relevant and quantitative information from the acquired data sets. Pr. Dylan Owen will overview his lab’s work on developing a variety of software tools for describing biological structures from SMLM data and show how SMLM can answer biological questions without needing to generate images. The methods will be illustrated in immune cells where we seek to understand the role protein spatial organisation plays in the regulation of the T cell immunological synapse.
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