bioinformatics biology cancer cell biology cell imaging cell painting chemical biology computer vision csv deep learning fluorescence imaging genetic high-throughput imaging image processing image-based profiling imaging machine learning medicine microscopy organelle
The Cell Painting Gallery is a collection of image datasets created using the Cell Painting assay. The images of cells are captured by microscopy imaging, and reveal the response of various labeled cell components to whatever treatments are tested, which can include genetic perturbations, chemicals or drugs, or different cell types. The datasets can be used for diverse applications in basic biology and pharmaceutical research, such as identifying disease-associated phenotypes, understanding disease mechanisms, and predicting a drug’s activity, toxicity, or mechanism of action (Chandrasekaran et al 2020). This collection is maintained by the Carpenter–Singh lab and the Cimini lab at the Broad Institute. A human-friendly listing of datasets, instructions for accessing them, and other documentation is at the corresponding GitHub page about the Gallery.
Typically when an associated publication is posted on biorxiv
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, but please do cite the corresponding publication for each dataset, as listed here.
https://github.com/broadinstitute/cellpainting-gallery
Carpenter-Singh and Cimini Labs at the Broad Institute
See all datasets managed by Carpenter-Singh and Cimini Labs at the Broad Institute.
cellpainting@broadinstitute.org
Cell Painting Gallery was accessed on DATE from https://registry.opendata.aws/cellpainting-gallery.
arn:aws:s3:::cellpainting-galleryus-east-1aws s3 ls --no-sign-request s3://cellpainting-gallery/