OpenCell on AWS

biology cell biology cell imaging computer vision fluorescence imaging imaging life sciences machine learning microscopy

Description

The OpenCell project is a proteome-scale effort to measure the localization and interactions of human proteins using high-throughput genome engineering to endogenously tag thousands of proteins in the human proteome. This dataset consists of the raw confocal fluorescence microscopy images for all tagged cell lines in the OpenCell library. These images can be interpreted both individually, to determine the localization of particular proteins of interest, and in aggregate, by training machine learning models to classify or quantify subcellular localization patterns.

Update Frequency

This is the final version of the dataset.

License

https://github.com/czbiohub/opencell/blob/master/LICENSE

Documentation

https://opencell.czbiohub.org/download

Managed By

Chan Zuckerberg Biohub

See all datasets managed by Chan Zuckerberg Biohub.

Contact

opencell@czbiohub.org

Usage Examples

Tools & Applications
Publications

Resources on AWS

  • Description
    Live-cell confocal fluorescence microscopy images of the OpenCell library of fluorescently tagged cell lines
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::czb-opencell
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://czb-opencell/ --no-sign-request

Edit this dataset entry on GitHub

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