PT - JOURNAL ARTICLE AU - Mohammed Baragilly AU - Daniel J. Nieves AU - David J. Williamson AU - Ruby Peters AU - Dylan M. Owen TI - Measuring the similarity of SMLM-derived point-clouds AID - 10.1101/2022.09.12.507560 DP - 2022 Jan 01 TA - bioRxiv PG - 2022.09.12.507560 4099 - http://biorxiv.org/content/early/2022/09/14/2022.09.12.507560.short 4100 - http://biorxiv.org/content/early/2022/09/14/2022.09.12.507560.full AB - 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.Competing Interest StatementThe authors have declared no competing interest.