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dc.contributor.authorShemesh, Ziv
dc.contributor.authorChaimovich, Gal
dc.contributor.authorGino, Liron
dc.contributor.authorOzana, Nisan
dc.contributor.authorNylk, Jonathan
dc.contributor.authorDholakia, Kishan
dc.contributor.authorZalevsky, Zeev
dc.date.accessioned2021-04-19T23:49:57Z
dc.date.available2021-04-19T23:49:57Z
dc.date.issued2020-04-20
dc.identifier.citationShemesh , Z , Chaimovich , G , Gino , L , Ozana , N , Nylk , J , Dholakia , K & Zalevsky , Z 2020 , ' Reducing data acquisition for light-sheet microscopy by extrapolation between imaged planes ' , Journal of Biophotonics , vol. Early View , e202000035 . https://doi.org/10.1002/jbio.202000035en
dc.identifier.issn1864-063X
dc.identifier.otherPURE: 267900656
dc.identifier.otherPURE UUID: ae8183ec-054e-4faf-895e-99f55f0bd067
dc.identifier.otherRIS: urn:B7D72CE721D65B507CF5B4E0ABBFCD9A
dc.identifier.otherScopus: 85083641203
dc.identifier.otherORCID: /0000-0002-2977-4929/work/74117951
dc.identifier.otherWOS: 000527068200001
dc.identifier.urihttp://hdl.handle.net/10023/23059
dc.description.abstractLight‐sheet fluorescence microscopy (LSFM) is a powerful technique that can provide high‐resolution images of biological samples. Therefore, this technique offers significant improvement for three‐dimensional (3D) imaging of living cells. However, producing high‐resolution 3D images of a single cell or biological tissues, normally requires high acquisition rate of focal planes, which means a large amount of sample sections. Consequently, it consumes a vast amount of processing time and memory, especially when studying real‐time processes inside living cells. We describe an approach to minimize data acquisition by interpolation between planes using a phase retrieval algorithm. We demonstrate this approach on LSFM data sets and show reconstruction of intermediate sections of the sparse samples. Since this method diminishes the required amount of acquisition focal planes, it also reduces acquisition time of samples as well. Our suggested method has proven to reconstruct unacquired intermediate planes from diluted data sets up to 10× fold. The reconstructed planes were found correlated to the original preacquired samples (control group) with correlation coefficient of up to 90%. Given the findings, this procedure appears to be a powerful method for inquiring and analyzing biological samples.
dc.language.isoeng
dc.relation.ispartofJournal of Biophotonicsen
dc.rightsCopyright © 2020 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1002/jbio.202000035en
dc.subjectGerchberg-Saxton algorithmen
dc.subjectLight-sheet microscopyen
dc.subjectSuper resolutionen
dc.subjectQC Physicsen
dc.subjectDASen
dc.subject.lccQCen
dc.titleReducing data acquisition for light-sheet microscopy by extrapolation between imaged planesen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews.Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews.Centre for Biophotonicsen
dc.contributor.institutionUniversity of St Andrews.Biomedical Sciences Research Complexen
dc.identifier.doihttps://doi.org/10.1002/jbio.202000035
dc.description.statusPeer revieweden
dc.date.embargoedUntil2021-04-20


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