Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy ; volume:14 ; number:1 ; day:25 ; month:9 ; year:2023 ; pages:1-17 ; date:12.2023
Nature Communications ; 14, Heft 1 (25.9.2023), 1-17, 12.2023
- Urheber
-
Martell, Matthew T.
Haven, Nathaniel J. M.
Cikaluk, Brendyn D.
Restall, Brendon S.
McAlister, Ewan A.
Mittal, Rohan
Adam, Benjamin A.
Giannakopoulos, Nadia
Peiris, Lashan
Silverman, Sveta
Deschenes, Jean
Li, Xingyu
Zemp, Roger J.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-023-41574-2
- URN
-
urn:nbn:de:101:1-2024020210273627183893
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:37 MESZ
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Beteiligte
- Martell, Matthew T.
- Haven, Nathaniel J. M.
- Cikaluk, Brendyn D.
- Restall, Brendon S.
- McAlister, Ewan A.
- Mittal, Rohan
- Adam, Benjamin A.
- Giannakopoulos, Nadia
- Peiris, Lashan
- Silverman, Sveta
- Deschenes, Jean
- Li, Xingyu
- Zemp, Roger J.
- SpringerLink (Online service)
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