Enabling real-time light-field 3D fluorescence microscopy through computational microscopy and deep learning
- Weitere Titel
-
Ermöglichung von Echtzeit-Lichtfeld-3D-Fluoreszenzmikroskopie durch computergestützte Mikroskopie und Deep Learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2023
- Schlagwort
-
Bildrekonstruktion
Mikroskopie
Bildgebendes Verfahren
Fluoreszenzmikroskopie
Bildverarbeitung
Dreidimensionale Rekonstruktion
- Ereignis
-
Veröffentlichung
- (wo)
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München
- (wer)
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Universitätsbibliothek der TU München
- (wann)
-
2023
- Urheber
-
Page Vizcaíno, Josué
- Beteiligte Personen und Organisationen
-
Lasser, Tobias
Favaro, Paolo
- URN
-
urn:nbn:de:bvb:91-diss-20230725-1700499-1-8
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Page Vizcaíno, Josué
- Lasser, Tobias
- Favaro, Paolo
- Universitätsbibliothek der TU München
Entstanden
- 2023
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