Replication data for: Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination

DOI

The chip-based total internal reflection fluorescence microscopy data is of fixed salmon keratocytes labelled using phalloidin-ATTO647N and acquired using 660 nm excitation, 10X 0.3NA water dipping objective.

Abstract of publication: Photonic chip-based total internal reflection fluorescence microscopy (c-TIRFM) is an emerging technology enabling a large TIRF excitation area decoupled from the detection objective. Additionally, due to the inherent multimodal nature of wide waveguides, it is a convenient platform for introducing temporal fluctuations in the illumination pattern. The fluorescence fluctuation-based nanoscopy technique Multiple Signal Classification Algorithm (MUSICAL) does not assume stochastic independence of the emitter emission and can therefore exploit fluctuations arising from other sources, as such multimodal illumination patterns. In this work, we demonstrate and verify the utilization of fluctuations in the illumination for super-resolution imaging using MUSICAL on actin in salmon keratocytes. The resolution improvement was measured to be 2.2–3.6-fold compared to the corresponding conventional images. DHH built the imaging system and contributed in the data acquisition

Identifier
DOI https://doi.org/10.18710/JEN4SB
Related Identifier https://doi.org/10.1364/OE.423809
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/JEN4SB
Provenance
Creator Opstad, Ida S. ORCID logo
Publisher DataverseNO
Contributor Opstad, Ida S.; UiT The Arctic University of Norway; Hansen, Daniel H.
Publication Year 2021
Funding Reference UiT The Arctic University of Norway UiT strategic funding ; The Research Council of Norway 301401 ; European Research Council 749666 ; European Research Council 836355
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Opstad, Ida S. (UiT The Arctic University of Norway)
Representation
Resource Type Experimental; Dataset
Format text/plain; application/zip
Size 8135; 6993519412
Version 1.4
Discipline Life Sciences; Medicine; Natural Sciences; Physics
Spatial Coverage Tromsø