title: Bayesian cluster identification in single-molecule localization microscopy data.
abstract: Single-molecule localization-based super-resolution microscopy techniques such as photoactivated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM) produce pointillist data sets of molecular coordinates. Although many algorithms exist for the identification and localization of molecules from raw image data, methods for analyzing the resulting point patterns for properties such as clustering have remained relatively under-studied. Here we present a model-based Bayesian approach to evaluate molecular cluster assignment proposals, generated in this study by analysis based on Ripley's K function. The method takes full account of the individual localization precisions calculated for each emitter. We validate the approach using simulated data, as well as experimental data on the clustering behavior of CD3ζ, a subunit of the CD3 T cell receptor complex, in resting and activated primary human T cells.
authors.affiliation: School of Mathematics, Heilbronn Institute for Mathematical Research, University of Bristol, Bristol, UK.
authors.forename: Patrick
authors.initials: P
authors.lastname: Rubin-Delanchy
authors.affiliation: Department of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.
authors.forename: Garth L
authors.initials: GL
authors.lastname: Burn
authors.affiliation: Department of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.
authors.forename: Juliette
authors.initials: J
authors.lastname: Griffié
authors.affiliation: Manchester Collaborative Centre for Inflammation Research, University of Manchester, Manchester, UK.
authors.forename: David J
authors.initials: DJ
authors.lastname: Williamson
authors.affiliation: Department of Mathematics, Imperial College London, London, UK.
authors.forename: Nicholas A
authors.initials: NA
authors.lastname: Heard
authors.affiliation: Division of Immunology, Infection and Inflammatory Disease, Academic Department of Rheumatology, King's College London, London, UK.
authors.forename: Andrew P
authors.initials: AP
authors.lastname: Cope
authors.affiliation: Department of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.
authors.forename: Dylan M
authors.initials: DM
authors.lastname: Owen
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D017252:CD3 Complex / Q000737:chemistry*; D015496:CD4-Positive T-Lymphocytes / Q000166:cytology* / Q000276:immunology; D002462:Cell Membrane / Q000378:metabolism; D016000:Cluster Analysis; D019295:Computational Biology; D006801:Humans; D008856:Microscopy, Fluorescence; D055095:Optics and Photonics; D015203:Reproducibility of Results; D013269:Stochastic Processes; D013601:T-Lymphocytes / Q000166:cytology
chemical_list: D017252:CD3 Complex; C121704:CD3 antigen, zeta chain