2026-07-31T23:51:18Zhttps://www.radar-service.eu/oai/OAIHandler10.48606/502026-04-24T07:41:40Z
10.48606/50
Toulany, Nikan
Nikan
Toulany
0000-0003-3505-7325
University of Konstanz
Datasets for "Uncovering developmental time and tempo using deep learning"
University of Konstanz
2020-2023
2023
Biology
Twin Network
TwinNet
zebrafish
embryogenesis
deep learning
machine learning
high-throughput
developmental biology
computational biology
Overview of the Twin Network data packages.
Open Access
Creative Commons Attribution 4.0 International
Müller, Patrick
Morales-Navarrete, Hernan
0000-0002-9578-2556
University of Konstanz
Ünalan, Murat
0000-0001-5225-3390
University of Konstanz
Müller, Patrick
0000-0002-0702-6209
University of Konstanz
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.
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