Datasets for "Uncovering developmental time and tempo using deep learning"

DOI

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.

Identifier
DOI https://doi.org/10.48606/50
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Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.48606/50
Provenance
Creator Toulany, Nikan ORCID logo
Publisher University of Konstanz
Contributor RADAR
Publication Year 2023
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Resource Type Overview of the Twin Network data packages.; Dataset
Format application/x-tar
Discipline Basic Biological and Medical Research; Biology; Developmental Biology; Life Sciences
Temporal Coverage 2020-2023