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 language | English |
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Publisher | bioRxiv |
DOIs | |
Publication status | Published - 14 Sept 2022 |
Keywords
- similarity measure
- SMLM
- image comparison
- clustering