Analysis Data and Stardist3D Trained Weights for Whole-mount Gastruloid Deep Imaging and Multiscale Analysis
Creators
Description
This archive is associated to the publication
"
Gros, A., Vanaret, J., Dunsing-Eichenauer, V., Rostan, A., Roudot, P., Lenne, P.F., Guignard, L. and Tlili, S., 2024. A quantitative pipeline for whole-mount deep imaging and multiscale analysis of gastruloids. bioRxiv, pp.2024-08
"
with DOI https://doi.org/10.1101/2024.08.13.607832
It contains the following zip files:
- "zenodo_tapenade_data.zip" which contains all datasets used to reproduce the figures of the articles, the trained Stardist3D weights, and the associated training datasets.
- "stardist_tapenade_model.zip" which contains the trained Stardist3D weights
Files
readme_zenodo.txt
Additional details
Related works
- Is published in
- Publication: 10.1101/2024.08.13.607832 (DOI)
Funding
- Agence Nationale de la Recherche
- ANR-16-CONV-0001
- Agence Nationale de la Recherche
- ANR-19-CE13-0022
- Fondation pour la Recherche Médicale
- EQU202003010407
- Agence Nationale de la Recherche
- ANR-22-CE30-0021
- European Commission
- BREAKDANCE - Control mechanisms and robustness of multicellular symmetry breaking 101072123
- International Human Frontier Science Program Organization
- HFSP LT0058/2022- L
Software
- Repository URL
- https://github.com/jules-vanaret/paper_tapenade
- Programming language
- Python