Maximum-likelihood model fitting for quantitative analysis of SMLM data.
Journal
Nature methods
ISSN: 1548-7105
Titre abrégé: Nat Methods
Pays: United States
ID NLM: 101215604
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
received:
19
11
2021
accepted:
14
10
2022
pubmed:
16
12
2022
medline:
14
1
2023
entrez:
15
12
2022
Statut:
ppublish
Résumé
Quantitative data analysis is important for any single-molecule localization microscopy (SMLM) workflow to extract biological insights from the coordinates of the single fluorophores. However, current approaches are restricted to simple geometries or require identical structures. Here, we present LocMoFit (Localization Model Fit), an open-source framework to fit an arbitrary model to localization coordinates. It extracts meaningful parameters from individual structures and can select the most suitable model. In addition to analyzing complex, heterogeneous and dynamic structures for in situ structural biology, we demonstrate how LocMoFit can assemble multi-protein distribution maps of six nuclear pore components, calculate single-particle averages without any assumption about geometry or symmetry, and perform a time-resolved reconstruction of the highly dynamic endocytic process from static snapshots. We provide extensive simulation and visualization routines to validate the robustness of LocMoFit and tutorials to enable any user to increase the information content they can extract from their SMLM data.
Identifiants
pubmed: 36522500
doi: 10.1038/s41592-022-01676-z
pii: 10.1038/s41592-022-01676-z
pmc: PMC9834062
doi:
Substances chimiques
Fluorescent Dyes
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
139-148Subventions
Organisme : European Research Council
ID : 724489
Pays : International
Organisme : NIBIB NIH HHS
ID : U01 EB021223
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2022. The Author(s).
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