Bioimaging experiments such as light-sheet or electron microscopy generate massive amounts of image data, often reaching terabytes per project. Handling, sharing, and analyzing these datasets with traditional storage systems is challenging, much like trying to stream a high-definition movie from a single hard drive to millions of viewers at once. Cloud object storage, as implemented by S3 (“Simple Storage Service”), solves this problem by storing each file or data chunk as a separate object with its own metadata and unique identifier, allowing fast, parallel access.

This design, which makes streaming platforms possible, is equally useful for bioimaging: formats like OME-Zarr store multi-dimensional image data in chunks that can be accessed independently, enabling scalable storage and efficient processing. S3 allows researchers to manage huge raw images, processed datasets, and analysis outputs. Unlike traditional block storage, object storage like S3 is optimized for large, distributed, and collaborative bioimaging workflows. Welcome to the future of bioimage research data management!

NFDI4BIOIMAGE offers limited S3 storage access via the Uni Cloud Münster. Reach out to our Help Desk to begin!