Measuring the similarity of SMLM-derived point-clouds

Mohammed Baragilly, Daniel Nieves, David J. Williamson, Ruby Peters, Dylan Owen

Research output: Working paper/PreprintPreprint

Abstract

Single-molecule localisation microscopy produces data in the form of point-clouds. Here, we present a tool for assessing the similarity of two such point-clouds, which, unlike measures such as co-localisation, is insensitive to differences that are not preserved between data sets. The presented method can determine whether two point-clouds were generated from the same conditions and can identify from which of two experimental conditions an unseen point-cloud was likely derived.
Original languageEnglish
PublisherbioRxiv
DOIs
Publication statusPublished - 14 Sept 2022

Keywords

  • similarity measure
  • SMLM
  • image comparison
  • clustering

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