ArticleJournal of synchrotron radiation2024
Investigation of fast and efficient lossless compression algorithms for macromolecular crystallography experiments.
Article in Journal of synchrotron radiation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- A High-Throughput Memory Compression Architecture for Real-Time 3D Visual Tracking and Quantification on Edge Devices.Sensors (Basel, Switzerland) · 2026Article
- Foreword to the CommDat special virtual issue on the raw diffraction data workshop and microsymposia at IUCr2023.IUCrData · 2025Article
- Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction.BMC bioinformatics · 2025Article
- Massive compression for high data rate macromolecular crystallography (HDRMX): impact on diffraction data and subsequent structural analysis.Journal of synchrotron radiation · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Structural biology experiments benefit significantly from state-of-the-art synchrotron data collection. One can acquire macromolecular crystallography (MX) diffraction data on large-area photon-counting pixel-array detectors at framing rates exceeding 1000 frames per second, using 200 Gbps network connectivity, or higher when available. In extreme cases this represents a raw data throughput of about 25 GB s
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Registered trials
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