Development of 2-colour and 3D SMLM data analysis methods for fibrous spatial point patterns

Research output: Contribution to journalArticle

Authors

  • R. Peters
  • J. Griffié
  • D. J. Williamson
  • J. Aaron
  • S. Khuon

Colleges, School and Institutes

External organisations

  • Department of Physics and Randall Division of Cell and Molecular Biophysics, King's College, London
  • Advanced Imaging Center, Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, Virginia, USA

Abstract

Single molecule localisation microscopy (SMLM), experimentally achieved over a decade ago, has become a routinely used analytical tool across the life sciences. A prevalent theme in the SMLM field is the need for quantitative analytical methods, owing to the point pattern nature of SMLM data. Whilst some forms of post processing analytics, for example cluster analysis, have been widely studied, others such as fibre analysis remain in their infancy. Here, we present two methods based on variants of Ripley's K-function for the analysis of fibrous structures in 3D and for dual colour data with one fibrous and one clustered molecular species. We demonstrate the methods on both simulated and experimental data of the actin cytoskeleton at the T cell immunological synapse.

Details

Original languageEnglish
Article number014005
Number of pages9
JournalJournal of Physics D: Applied Physics
Volume52
Issue number1
Early online date5 Nov 2018
Publication statusPublished - 2 Jan 2019

Keywords

  • cluster analysis, fibre analysis, SMLM, SPP