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Title:
Datasets for "Uncovering developmental time and tempo using deep learning"
Additional titles:
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Description:
(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.
Keywords:
Twin Network
TwinNet
zebrafish
embryogenesis
deep learning
machine learning
high-throughput
developmental biology
computational biology
Related information:
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Language:
-
Production year:
Subject areas:
Biology
Resource type:
(Dataset) Overview of the Twin Network data packages.
Data source:
-
Software used:
-
Data processing:
-
Publication year:
Rights:
Rights holders:
Müller, Patrick
Funding:
-
Name Storage Metadata Upload Action

Number of views in the previous six months.

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870


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13


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Status:
Published
Uploaded by:
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Archiving date:
2023-03-29
Archive size:
22.5 kB
Archive creator:
67eb831a87973fb304fde899f902c1bc
Archive checksum:
92e1b1b306252be31c26f6d358bc1da3 (MD5)
Embargo end date:
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