Abstract：
:Single-molecule localization microscopy techniques have proven to be essential tools for quantitatively monitoring biological processes at unprecedented spatial resolution. However, these techniques are very low throughput and are not yet compatible with fully automated, multiparametric cellular assays. This shortcoming is primarily due to the huge amount of data generated during imaging and the lack of software for automation and dedicated data mining. We describe an automated quantitative single-molecule-based super-resolution methodology that operates in standard multiwell plates and uses analysis based on high-content screening and data-mining software. The workflow is compatible with fixed- and live-cell imaging and allows extraction of quantitative data like fluorophore photophysics, protein clustering or dynamic behavior of biomolecules. We demonstrate that the method is compatible with high-content screening using 3D dSTORM and DNA-PAINT based super-resolution microscopy as well as single-particle tracking.
journal_name
Nat Methodsjournal_title
Nature methodsauthors
Beghin A,Kechkar A,Butler C,Levet F,Cabillic M,Rossier O,Giannone G,Galland R,Choquet D,Sibarita JBdoi
10.1038/nmeth.4486subject
Has Abstractpub_date
2017-12-01 00:00:00pages
1184-1190issue
12eissn
1548-7091issn
1548-7105pii
nmeth.4486journal_volume
14pub_type
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