
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
Deep Learning, whole-mount imaging, Organoids/growth & development
Deep Learning, whole-mount imaging, Organoids/growth & development
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
