
Developed a new feature for the bluesky/tiled repository that enables direct reading of raw Dectris Eiger HDF5 data, addressing previous limitations with lzf compression and ensuring compatibility through the integration of the hdf5plugin dependency. Leveraged Python for robust file I/O and data handling, focusing on seamless ingestion and analysis of Eiger datasets. Updated the project changelog to document these enhancements for downstream users and quality assurance. This work improved the end-to-end workflow for Eiger data, supporting greater accessibility and reproducibility for scientific analysis pipelines that rely on HDF5 formats and dependency management within the tiled ecosystem.
In March 2025, delivered a new capability to read raw Dectris Eiger HDF5 data in bluesky/tiled, addressing compression-related issues, ensuring dependency compatibility, and updating the changelog. This enables end-to-end data ingestion and analysis for Eiger datasets, enhancing data accessibility, reproducibility, and overall analysis velocity across projects relying on Eiger file formats.
In March 2025, delivered a new capability to read raw Dectris Eiger HDF5 data in bluesky/tiled, addressing compression-related issues, ensuring dependency compatibility, and updating the changelog. This enables end-to-end data ingestion and analysis for Eiger datasets, enhancing data accessibility, reproducibility, and overall analysis velocity across projects relying on Eiger file formats.

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