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Open AccessJournal ArticleDOI

Data acquisition system for X-ray free-electron laser experiments at SACLA

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TLDR
A data acquisition, control, and storage system for user experiments at the X-ray Free Electron Laser facility, SACLA, at the SPring-S site, which has been stably operating for the public users experiments since March 2012.
Abstract
A data acquisition system for X-ray free-electron laser experiments at SACLA has been developed. The system has been designed for reliable shot-to-shot data storage with a high data stream greater than 4 Gbps and massive data analysis. Configuration of the system and examples of prompt data analysis during experiments are presented. Upgrade plans for the system to extend flexibility are described.

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Journal ArticleDOI

J. Appl. Cryst.の発刊に際して

良二 上田
Journal ArticleDOI

Overview of the SACLA facility.

TL;DR: An overview of SACLA operating as a user facility and the updated status of the light source and the beamline is summarized.
Journal ArticleDOI

Hydroxyethyl cellulose matrix applied to serial crystallography

TL;DR: A hydroxyethyl cellulose-matrix carrier is introduced, to determine the structure of three proteins, and the de novo structure determination of proteinase K from single-wavelength anomalous diffraction by utilizing the anomalous signal of the praseodymium atom was demonstrated.
Journal ArticleDOI

Data processing pipeline for serial femtosecond crystallography at SACLA

TL;DR: A data processing pipeline for SACLA was developed, based on Cheetah and CrystFEL, and real-time analysis and rapid structure solution were enabled.
References
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Journal ArticleDOI

NIH Image to ImageJ: 25 years of image analysis

TL;DR: The origins, challenges and solutions of NIH Image and ImageJ software are discussed, and how their history can serve to advise and inform other software projects.
Journal ArticleDOI

J. Appl. Cryst.の発刊に際して

良二 上田
Journal ArticleDOI

Phase retrieval algorithms: a comparison.

TL;DR: Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods and it is shown that both the error-reduction algorithm for the problem of a single intensity measurement and the Gerchberg-Saxton algorithm forThe problem of two intensity measurements converge.
Book

Mixture models : inference and applications to clustering

TL;DR: The Mixture Likelihood Approach to Clustering and the Case Study Homogeneity of Mixing Proportions Assessing the Performance of the Mixture likelihood approach toClustering.
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