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Cell Painting Gallery

bioinformatics biology cancer cell biology cell imaging cell painting chemical biology computer vision csv deep learning fluorescence imaging genetic high-throughput imaging image processing imaging machine learning medicine microscopy organelle

Description

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 at the Broad Institute.

Update Frequency

Typically when an associated publication is posted on biorxiv

License

CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, but please do cite the corresponding publication for each dataset, as listed here.

Documentation

https://github.com/broadinstitute/cellpainting-gallery

Managed By

Carpenter-Singh Lab

See all datasets managed by Carpenter-Singh Lab.

Contact

cellpainting@broadinstitute.org

How to Cite

Cell Painting Gallery was accessed on DATE from https://registry.opendata.aws/cellpainting-gallery.

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    Cell Painting data, comprising fluorescence microscopy cell images (TIFF), extracted features (CSV), and associated metadata (CSV and TXT)
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::cellpainting-gallery
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://cellpainting-gallery/

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