Skip to main content
zenodoopen

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&nbsp;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.&nbsp; 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&nbsp;&nbsp;Histopathology Platform at Institut Pasteur in Paris, France.&nbsp;</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