Image datasets used in the paper "Revealing invisible cell phenotypes with conditional generative modeling"
<p>- BBBC021_selection_128 is a selection of the BBBC021 image dataset from the Broad Bioimage Benchmarck Collection from the Broad Institute</p> <p>- golgi_256_subset is a subset (one plate) of the Golgi Dataset we used (which is about 3 times larger). It was generated by the Biophenics platform in Institut Curie, Paris, France</p> <p>- translocation_256 is the translocation Dataset we used. It was generated by the Biophenics platform in Institut Curie, Paris, France</p> <p>- LRKK2_256 is the Parkinson LRKK2 mutation dataset we used. It was generated by Ksilink, Strasbourg, France</p> <p>- smala_256 is the Malaria dataset we used. It was generated by IRD, Paris, France and acquired by the Histopathology Platform at Institut Pasteur in Paris, France. </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0