@article {49467,
	title = {Development of 2-colour and 3D SMLM data analysis methods for fibrous spatial point patterns.},
	journal = {Journal of Physics D: Applied Physics},
	volume = {52},
	year = {2018},
	month = {2018 Oct 11},
	pages = {1},
	abstract = {<p>Abstract ingle molecule localisation microscopy (SMLM), experimentally achieved over a decade ago, has become a routinely used analytical tool across the life sciences. Synergistic advances in probe chemistry, optical physics and data analysis has propelled SMLM into the quantitative realm, enabling unprecedented access to the cellular machinery at the nanoscale. In its early years, SMLM primarily served as a platform for impressive rendered images of sub diffraction scale structures, however more recently a shift towards interrogating SMLM point pattern data in a robust mathematical framework has occurred. A prevalent theme in the SMLM field is the need for quantitative analytical methods, to better understand the underlying processes on which SMLM reports and to extract statistically valid biological insights. 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 review the current state of the art of cluster analysis and fibre analysis and present new methods for their implementation in both 3D SMLM data sets and multi-colour data.</p>
},
	doi = {10.1088/1361-6463/aae7ac},
	author = {Peters, Ruby and Griffi{\'e}, Juliette and Williamson, David and Aaron, Jesse and Khuon, Satya and Owen, Dylan}
}
