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Titel:
Datasets for "Uncovering developmental time and tempo using deep learning"
Weitere Titel:
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Beschreibung:
(Abstract) This is the data repository for training and testing the Twin Network. The imaging data repositories are divided into several packages based on independent experiments. The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within these experiment folders, data are organized by microscope position and embryo number.
Schlagworte:
Twin Network
TwinNet
zebrafish
embryogenesis
deep learning
machine learning
high-throughput
developmental biology
computational biology
Zugehörige Informationen:
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Sprache:
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Herausgeber/in:
Erstellungsjahr:
Fachgebiet:
Biology
Objekttyp:
(Dataset) Overview of the Twin Network data packages.
Datenquelle:
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Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Rechteinhaber/in:
Müller, Patrick
Förderung:
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Name Speichervolumen Metadaten Upload Aktion
Status:
Publiziert
Eingestellt von:
a0e9bbf420261f004b82a78865576769
Erstellt am:
Archivierungsdatum:
2023-03-29
Archivgröße:
22,5 kB
Archiversteller:
67eb831a87973fb304fde899f902c1bc
Archiv-Prüfsumme:
92e1b1b306252be31c26f6d358bc1da3 (MD5)
Embargo-Zeitraum:
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