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  2. TwinNetworkDataset020
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    Dataset: TwinNetworkDataset020

    Alternate identifier:
    -
    Related identifier:
    (Is Part Of) 10.48606/50 - DOI
    Creator/Author:
    Contributors:
    (Other)
    (Other)
    (Other)
    Title:
    TwinNetworkDataset020
    Additional titles:
    -
    Description:
    (Other) The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of TE zebrafish strains were used for imaging. Imaging started with embryos between 0.75-1.25 hpf and ended with embryos between 8-8. 5 hpf. Images of embryos were acquired at 141 acquisition time points with a time interval of 185 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
    Keywords:
    Twin Network
    TwinNet
    zebrafish
    embryogenesis
    deep learning
    developmental biology
    computational biology
    Related information:
    -
    Language:
    -
    Publishers:
    University of Konstanz
    Production year:
    Subject areas:
    Biology
    Resource type:
    (Dataset) Dataset for Twin Network; Brightfield microscopy data of zebrafish embryos 0.75-8.5hpf
    Data source:
    -
    Software used:
    -
    Data processing:
    -
    Publication year:
    Rights holders:
    Müller, Patrick
    Funding:
    -
    Name Storage Metadata Upload Action
    Status:
    Published
    Uploaded by:
    f123eab02974114d84271e59f5f5ae60
    Created on:
    Archiving date:
    2023-04-03
    Archive size:
    14.3 GB
    Archive creator:
    67eb831a87973fb304fde899f902c1bc
    Archive checksum:
    27737e2eaa6df57114bf459d4fa82cd0 (MD5)
    Embargo period:
    -