Massive compression for high data rate macromolecular crystallography (HDRMX): impact on diffraction data and subsequent structural analysis.

ABSTRACT: New higher-count-rate, integrating, large-area X-ray detectors with framing rates as high as 17400 images per second are beginning to be available. These will soon be used for specialized macromolecular crystallography experiments but will require optimal lossy compression algorithms to enable systems to keep up with data throughput. Some information may be lost. Can we minimize this loss with acceptable impact on structural information? To explore this question, we have considered several approaches: summing short sequences of images, binning to create the effect of larger pixels, use of JPEG-2000 lossy wavelet-based compression, and use of Hcompress, which is a Haar-wavelet-based lossy compression borrowed from astronomy. We also explore the effect of the combination of summing, binning,

SUBMITTER: Bernstein HJ 

PROVIDER: S-EPMC11892891 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature