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  2. TwinNetworkDataset013
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    Dataset: TwinNetworkDataset013

    Alternate identifier:
    -
    Related identifier:
    (Is Part Of) 10.48606/50 - DOI
    Creator/Author:
    Contributors:
    (Other)
    (Other)
    (Other)
    Title:
    TwinNetworkDataset013
    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 at 2.25 hpf and ended at 26.5 hpf. Images of embryos were acquired at 580 acquisition time points with a time interval of 150 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 2.25-26.5hpf
    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:
    2023-04-14
    Archive size:
    41.1 GB
    Archive creator:
    9db020d1f09ef008baffdbfbe06678ff
    Archive checksum:
    620ddc9c31ef9c7e94e4245a7133fed7 (MD5)
    Embargo period:
    -