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Deep learning-enhan...
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Wagner, NilsEuropean Molecular Biology Laboratory Heidelberg
(författare)
Deep learning-enhanced light-field imaging with continuous validation
Förlag, utgivningsår, omfång ...
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Cold Spring Harbor Laboratory,2020
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24 s.
Nummerbeteckningar
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LIBRIS-ID:oai:lup.lub.lu.se:08f256f9-fe0a-4f92-ad39-8af163e441bf
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https://lup.lub.lu.se/record/08f256f9-fe0a-4f92-ad39-8af163e441bfURI
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https://doi.org/10.1101/2020.07.30.228924DOI
Kompletterande språkuppgifter
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Språk:engelska
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Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
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Ämneskategori:ovr swepub-publicationtype
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Ämneskategori:vet swepub-contenttype
Anmärkningar
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Light field microscopy (LFM) has emerged as a powerful tool for fast volumetric image acquisition in biology, but its effective throughput and widespread use has been hampered by a computationally demanding and artefact-prone image reconstruction process. Here, we present a novel framework consisting of a hybrid light-field light-sheet microscope and deep learning-based volume reconstruction, where single light-sheet acquisitions continuously serve as training data and validation for the convolutional neural network reconstructing the LFM volume. Our network delivers high-quality reconstructions at video-rate throughput and we demonstrate the capabilities of our approach by imaging medaka heart dynamics and zebrafish neural activity.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Beuttenmueller, Fynn
(författare)
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Norlin, NilsLund University,Lunds universitet,Molekylär neuromodulering,Forskargrupper vid Lunds universitet,Molecular Neuromodulation,Lund University Research Groups,European Molecular Biology Laboratory Heidelberg(Swepub:lu)ni5154no
(författare)
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Gierten, Jakob
(författare)
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Wittbrodt, Joachim
(författare)
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Weigert, Martin
(författare)
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Hufnagel, Lars
(författare)
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Prevedel, Robert
(författare)
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Kreshuk, AnnaEuropean Molecular Biology Laboratory Heidelberg
(författare)
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European Molecular Biology Laboratory HeidelbergMolekylär neuromodulering
(creator_code:org_t)
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