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Measuring the similarity of SMLM-derived point-clouds
Mohammed Baragilly, Daniel J. Nieves, View ORCID ProfileDavid J. Williamson, Ruby Peters, Dylan M. Owen
doi: https://doi.org/10.1101/2022.09.12.507560
Mohammed Baragilly
1Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK
2Department of Mathematics, Insurance and Applied Statistics, Helwan University, Egypt
Daniel J. Nieves
1Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK
David J. Williamson
3Randall Centre of Cell and Molecular Biophysics, King’s College London, London, UK
Ruby Peters
4Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
Dylan M. Owen
1Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK
Posted September 14, 2022.
Measuring the similarity of SMLM-derived point-clouds
Mohammed Baragilly, Daniel J. Nieves, David J. Williamson, Ruby Peters, Dylan M. Owen
bioRxiv 2022.09.12.507560; doi: https://doi.org/10.1101/2022.09.12.507560
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