Gutenberg Open Science: Unbiased choice of global clustering parameters for single-molecule localization microscopy

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8899

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DC Field	Value	Language
dc.contributor.author	Verzelli, Pietro	-
dc.contributor.author	Nold, Andreas	-
dc.contributor.author	Sun, Chao	-
dc.contributor.author	Heilemann, Mike	-
dc.contributor.author	Schuman, Erin M.	-
dc.contributor.author	Tchumatchenko, Tatjana	-
dc.date.accessioned	2023-04-20T08:15:04Z	-
dc.date.available	2023-04-20T08:15:04Z	-
dc.date.issued	2022	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/8915	-
dc.description.abstract	Single-molecule localization microscopy resolves objects below the diffraction limit of light via sparse, stochastic detection of target molecules. Single molecules appear as clustered detection events after image reconstruction. However, identification of clusters of localizations is often complicated by the spatial proximity of target molecules and by background noise. Clustering results of existing algorithms often depend on user-generated training data or user-selected parameters, which can lead to unintentional clustering errors. Here we suggest an unbiased algorithm (FINDER) based on adaptive global parameter selection and demonstrate that the algorithm is robust to noise inclusion and target molecule density. We benchmarked FINDER against the most common density based clustering algorithms in test scenarios based on experimental datasets. We show that FINDER can keep the number of false positive inclusions low while also maintaining a low number of false negative detections in densely populated regions.	en_GB
dc.description.sponsorship	Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577	de
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	610 Medizin	de_DE
dc.subject.ddc	610 Medical sciences	en_GB
dc.title	Unbiased choice of global clustering parameters for single-molecule localization microscopy	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-8899	-
jgu.type.contenttype	Scientific article	de
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 04 Medizin	de
jgu.organisation.number	2700	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Scientific reports	de
jgu.journal.volume	12	de
jgu.pages.alternative	22561	de
jgu.publisher.year	2022	-
jgu.publisher.name	Macmillan Publishers Limited, part of Springer Nature	de
jgu.publisher.place	London	de
jgu.publisher.uri	https://doi.org/10.1038/s41598-022-27074-1	de
jgu.publisher.issn	2045-2322	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	610	de
jgu.publisher.doi	10.1038/s41598-022-27074-1	de
jgu.organisation.ror	https://ror.org/023b0x485	-
jgu.subject.dfg	Lebenswissenschaften	de
Appears in collections:	DFG-491381577-G

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