Publication:
PAAQ: Paired Alternating AcQuisitions for virtual high frame rate multichannel cardiac fluorescence microscopy.

dc.contributor.authorMarelli, François
dc.contributor.authorErnst, Alexander
dc.contributor.authorMercader, Nadia
dc.contributor.authorLiebling, Michael
dc.contributor.funderSwiss National Science Foundationes_ES
dc.date.accessioned2024-05-10T11:39:57Z
dc.date.available2024-05-10T11:39:57Z
dc.date.issued2023
dc.description.abstractIn vivo fluorescence microscopy is a powerful tool to image the beating heart in its early development stages. A high acquisition frame rate is necessary to study its fast contractions, but the limited fluorescence intensity requires sensitive cameras that are often too slow. Moreover, the problem is even more complex when imaging distinct tissues in the same sample using different fluorophores. We present Paired Alternating AcQuisitions, a method to image cyclic processes in multiple channels, which requires only a single (possibly slow) camera. We generate variable temporal illumination patterns in each frame, alternating between channel-specific illuminations (fluorescence) in odd frames and a motion-encoding brightfield pattern as a common reference in even frames. Starting from the image pairs, we find the position of each reference frame in the cardiac cycle through a combination of image-based sorting and regularized curve fitting. Thanks to these estimated reference positions, we assemble multichannel videos whose frame rate is virtually increased. We characterize our method on synthetic and experimental images collected in zebrafish embryos, showing quantitative and visual improvements in the reconstructed videos over existing nongated sorting-based alternatives. Using a 15 Hz camera, we showcase a reconstructed video containing two fluorescence channels at 100 fps.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis work has been conducted with the support of the Swiss National Science Foundation under grant numbers 200020_179217: Computational biomicroscopy: advanced image processing methods to quantify live biological systems; and 206021_164022: Platform for reproducible acquisition, processing, and sharing of dynamic, multi-modal data. N.M. was funded through Swiss National Science Foundation grant 310030L_182575.es_ES
dc.format.pagee20es_ES
dc.format.volume3es_ES
dc.identifier.citationBiol Imaging. 2023 Nov 6:3:e20.es_ES
dc.identifier.doi10.1017/S2633903X23000223es_ES
dc.identifier.e-issn2633-903Xes_ES
dc.identifier.journalBiological imaginges_ES
dc.identifier.pubmedID38510170es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/19361
dc.language.isoenges_ES
dc.publisherOxford University Presses_ES
dc.relation.publisherversion10.1017/S2633903X23000223es_ES
dc.repisalud.institucionCNICes_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Desarrollo del Epicardio y su Papel en la Regeneraciónes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titlePAAQ: Paired Alternating AcQuisitions for virtual high frame rate multichannel cardiac fluorescence microscopy.es_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication6ea1cf51-a1c1-4666-8ba5-18c1ac9487ad
relation.isAuthorOfPublication.latestForDiscovery6ea1cf51-a1c1-4666-8ba5-18c1ac9487ad

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