{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:27:13Z","timestamp":1769635633670,"version":"3.49.0"},"reference-count":21,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T00:00:00Z","timestamp":1700784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004063","name":"Knut Och Alice Wallenbergs Stiftelse","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004063","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Bioinform."],"abstract":"<jats:p>Many proteins display a non-random distribution on the cell surface. From dimers to nanoscale clusters to large, micron-scale aggregations, these distributions regulate protein-protein interactions and signalling. Although these distributions show organisation on length-scales below the resolution limit of conventional optical microscopy, single molecule localisation microscopy (SMLM) can map molecule locations with nanometre precision. The data from SMLM is not a conventional pixelated image and instead takes the form of a point-pattern\u2014a list of the x, y coordinates of the localised molecules. To extract the biological insights that researchers require cluster analysis is often performed on these data sets, quantifying such parameters as the size of clusters, the percentage of monomers and so on. Here, we provide some guidance on how SMLM clustering should best be performed.<\/jats:p>","DOI":"10.3389\/fbinf.2023.1237551","type":"journal-article","created":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T08:43:30Z","timestamp":1700815410000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Cluster analysis for localisation-based data sets: dos and don\u2019ts when quantifying protein aggregates"],"prefix":"10.3389","volume":"3","author":[{"given":"Luca","family":"Panconi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dylan M.","family":"Owen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juliette","family":"Griffi\u00e9","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2023,11,24]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"e22678","DOI":"10.1371\/journal.pone.0022678","article-title":"Quantitative photo activated localization microscopy: unraveling the effects of photoblinking","volume":"6","author":"Annibale","year":"2011","journal-title":"PLoS One"},{"key":"B2","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1038\/nmeth.1627","article-title":"Identification of clustering artifacts in photoactivated localization microscopy","volume":"8","author":"Annibale","year":"2011","journal-title":"Nat. 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