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dc.contributor.authorOpstad, Ida Sundvor
dc.contributor.authorHansen, Daniel Henry
dc.contributor.authorAcuña Maldonado, Sebastian Andres
dc.contributor.authorStröhl, Florian
dc.contributor.authorPriyadarshi, Anish
dc.contributor.authorTinguely, Jean-Claude
dc.contributor.authorDullo, Firehun Tsige
dc.contributor.authorDalmo, Roy Ambli
dc.contributor.authorSeternes, Tore
dc.contributor.authorAhluwalia, Balpreet Singh
dc.contributor.authorAgarwal, Krishna
dc.date.accessioned2021-08-05T10:08:07Z
dc.date.available2021-08-05T10:08:07Z
dc.date.issued2021-07-19
dc.description.abstractPhotonic 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.en_US
dc.identifier.citationOpstad IS, Hansen DH, Acuña Maldonado SAA, Ströhl F, Priyadarshi A, Tinguely J, Dullo FT, Dalmo RA, Seternes T, Ahluwalia BS, Agarwal K. Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination. Optics Express. 2021en_US
dc.identifier.cristinIDFRIDAID 1921277
dc.identifier.doihttps://doi.org/10.1364/OE.423809
dc.identifier.issn1094-4087
dc.identifier.urihttps://hdl.handle.net/10037/21953
dc.language.isoengen_US
dc.publisherOptical Society of Americaen_US
dc.relation.ispartofAcuna Maldonado, S.A. (2023). Multiple Signal Classification Algorithm: A computational microscopy tool for fluorescence microscopy. (Doctoral thesis). <a href=https://hdl.handle.net/10037/31879>https://hdl.handle.net/10037/31879</a>.
dc.relation.journalOptics Express
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/749666/EU/Chip-based MUSICAL nanoscopy for imaging endocytosis pathways of phage viruses in liver sinusoidal endothelial cells/MUSICAL/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/836355/EU/Development of Deep-UV Quantitative Microscopy for the Study of Mitochondrial Dysfunction/MitoQuant/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/336716/EU/High-speed chip-based nanoscopy to discover real-time sub-cellular dynamics/NANOSCOPY/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/NANO2021/301401/Norway/Nano- and microplastics: Do they impact fish health and welfare?//en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 Optical Society of Americaen_US
dc.subjectVDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism, acoustics, optics: 434en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme, akustikk, optikk: 434en_US
dc.titleFluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illuminationen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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