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OpenCell on AWS

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


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.



Managed By

Chan Zuckerberg Biohub

See all datasets managed by Chan Zuckerberg Biohub.


How to Cite

OpenCell on AWS was accessed on DATE from

Usage Examples

Tools & Applications

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)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://czb-opencell/

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