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Sökning: onr:"swepub:oai:lup.lub.lu.se:24dfdeda-5006-482b-ba55-0d120dd89f7c" > Deep learning-enhan...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003477naa a2200409 4500
001oai:lup.lub.lu.se:24dfdeda-5006-482b-ba55-0d120dd89f7c
003SwePub
008210514s2021 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/24dfdeda-5006-482b-ba55-0d120dd89f7c2 URI
0247 a https://doi.org/10.1038/s41592-021-01136-02 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Wagner, Nilsu European Molecular Biology Laboratory Heidelberg4 aut
2451 0a Deep learning-enhanced light-field imaging with continuous validation
264 c 2021-05-07
264 1b Springer Science and Business Media LLC,c 2021
520 a Visualizing dynamic processes over large, three-dimensional fields of view at high speed is essential for many applications in the life sciences. Light-field microscopy (LFM) has emerged as a tool for fast volumetric image acquisition, but its effective throughput and widespread use in biology has been hampered by a computationally demanding and artifact-prone image reconstruction process. Here, we present a framework for artificial intelligence-enhanced microscopy, integrating a hybrid light-field light-sheet microscope and deep learning-based volume reconstruction. In our approach, concomitantly acquired, high-resolution two-dimensional light-sheet images continuously serve as training data and validation for the convolutional neural network reconstructing the raw LFM data during extended volumetric time-lapse imaging experiments. Our network delivers high-quality three-dimensional reconstructions at video-rate throughput, which can be further refined based on the high-resolution light-sheet images. We demonstrate the capabilities of our approach by imaging medaka heart dynamics and zebrafish neural activity with volumetric imaging rates up to 100 Hz.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
7001 a Beuttenmueller, Fynnu Heidelberg University4 aut
7001 a Norlin, Nilsu Lund University,Lunds universitet,Molekylär neuromodulering,Forskargrupper vid Lunds universitet,Lund University Bioimaging Center,Medicinska fakulteten,Molecular Neuromodulation,Lund University Research Groups,Faculty of Medicine,European Molecular Biology Laboratory Heidelberg4 aut0 (Swepub:lu)ni5154no
7001 a Gierten, Jakobu University Hospital Heidelberg4 aut
7001 a Boffi, Juan Carlos4 aut
7001 a Wittbrodt, Joachimu Heidelberg University4 aut
7001 a Weigert, Martinu Swiss Federal Institute of Technology4 aut
7001 a Hufnagel, Lars4 aut
7001 a Prevedel, Robertu European Molecular Biology Laboratory (EMBL Rome)4 aut
7001 a Kreshuk, Anna4 aut
7102 a European Molecular Biology Laboratory Heidelbergb Heidelberg University4 org
7730 t Nature Methodsd : Springer Science and Business Media LLCg 18:5, s. 557-563q 18:5<557-563x 1548-7105x 1548-7091
8564 u http://dx.doi.org/10.1038/s41592-021-01136-0y FULLTEXT
8564 u https://doi.org/10.1101/2020.07.30.228924
8564 8u https://lup.lub.lu.se/record/24dfdeda-5006-482b-ba55-0d120dd89f7c
8564 8u https://doi.org/10.1038/s41592-021-01136-0

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