<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.18710/JEN4SB</identifier><creators><creator><creatorName nameType="Personal">Opstad, Ida S.</creatorName><givenName>Ida S.</givenName><familyName>Opstad</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0003-4462-4600</nameIdentifier><affiliation>UiT The Arctic University of Norway</affiliation></creator></creators><titles><title>Replication data for: Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination</title></titles><publisher>DataverseNO</publisher><publicationYear>2021</publicationYear><subjects><subject>Medicine, Health and Life Sciences</subject><subject>Physics</subject><subject>TIRF</subject><subject>waveguide imaging</subject><subject>fluctuation imaging</subject><subject>super-resolution</subject><subject>actin</subject><subject>salmon keratocytes</subject><subject>fluctuation imaging</subject><subject>chip microscopy</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Opstad, Ida S.</contributorName><givenName>Ida S.</givenName><familyName>Opstad</familyName><affiliation>UiT The Arctic University of Norway</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">UiT The Arctic University of Norway</contributorName></contributor><contributor contributorType="DataCollector"><contributorName nameType="Personal">Hansen, Daniel H.</contributorName><givenName>Daniel H.</givenName><familyName>Hansen</familyName></contributor><contributor contributorType="Distributor"><contributorName nameType="Organizational">UiT The Arctic University of Norway</contributorName><affiliation>UiT The Arctic University of Norway</affiliation></contributor></contributors><dates><date dateType="Created">2020-09-04</date><date dateType="Submitted">2021-03-01</date><date dateType="Updated">2023-11-01</date><date dateType="Collected">2020-09-04/2020-09-04</date></dates><resourceType resourceTypeGeneral="Dataset">Experimental</resourceType><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1364/OE.423809</relatedIdentifier></relatedIdentifiers><sizes><size>8135</size><size>6993519412</size></sizes><formats><format>text/plain</format><format>application/zip</format></formats><version>1.4</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="Abstract">&lt;p>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.&lt;/p>
&lt;p>&lt;/p>
&lt;p>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&lt;/p></description></descriptions><geoLocations><geoLocation><geoLocationPlace>Tromsø</geoLocationPlace></geoLocation></geoLocations><fundingReferences><fundingReference><funderName>UiT The Arctic University of Norway</funderName><awardNumber>UiT strategic funding</awardNumber></fundingReference><fundingReference><funderName>The Research Council of Norway</funderName><awardNumber>301401</awardNumber></fundingReference><fundingReference><funderName>European Research Council</funderName><awardNumber>749666</awardNumber></fundingReference><fundingReference><funderName>European Research Council</funderName><awardNumber>836355</awardNumber></fundingReference></fundingReferences></resource>