Deep Learning-based Enhancement of Fluorescence Labeling for Accurate Cell Lineage Tracing During Embryogenesis
Software/Source Code: https://github.com/plcx/NucApp-developPaper DOI: under revisionDataset Description:<br>RawImages3EmbZhaoLab.zip and EnhancedImages3EmbZhaoLab contain 3 embryos, for test and evaluation, with 240, 280, and 300 time points (3D volumes) respectively. GroundTruthTrainingDataset6EmbZhaoLab.zip contains 6 time-lapse embryos which consist of 1270 3D volumes for the recommended well-trained model. <br>RawImages2EmbDuLab.zip and GroundTruthTrainingDataset3EmbDuLab.zip are generated (stacked and cropped) from https://www.sciencedirect.com/science/article/pii/S221112471831982X and https://www.nature.com/articles/s41592-021-01216-1 for evaluating the generalization of DELICATE. EnhancedImages2EmbDuLab.zip is the enhanced result of the raw images without deconvolution, and additional test.<br><br>
Publication Details
- Journal
- Figshare
- Published
- 2024-08-19
- DOI
- https://doi.org/10.6084/m9.figshare.26778475
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00