Treffer: Studies from University of Basel Have Provided New Information about Science (TRPXv2.0: superfast, parallel compression of diffraction patterns and images, with native Python and HDF5 support).

The article focuses on the introduction of the TRPX (TERSE/PROLIX) algorithm, developed to address the challenges of storing, processing, and sharing the rapidly increasing volumes of scientific data in structural biology. Researchers from the University of Basel have implemented a multithreaded extension of this algorithm, which allows for efficient compression of greyscale data and is accessible through a Python library and as an HDF5 filter. The new TRPXv2.0 algorithm is reported to be at least 2.5 times faster than existing compression methods for diffraction data, enhancing data handling capabilities in modern structural biology. The research has been peer-reviewed and aims to provide a scalable solution for high-throughput data management. [Extracted from the article]

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