Jove
Visualize
Contact Us

Related Experiment Video

Updated: Jun 3, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Data processing and analysis with the autoPROC toolbox.

Clemens Vonrhein1, Claus Flensburg, Peter Keller

  • 1Global Phasing Ltd, Sheraton House, Castle Park, Cambridge, England. vonrhein@globalphasing.com

Acta Crystallographica. Section D, Biological Crystallography
|April 5, 2011
PubMed
Summary

Modern synchrotron beamlines generate vast data, overwhelming novice users. The autoPROC software aids in processing diffraction data, addressing common issues and guiding users through complex analysis.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Report of high data rate macromolecular crystallography (HDRMX) meeting, 23 July 2025.

Structural dynamics (Melville, N.Y.)·2026
Same author

Vancomycin-resistant Enterococcus faecium: a national wide genomic snapshot in Switzerland.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2026
Same author

Radiation damage in sub-Ångström resolution macromolecular crystallography: a low-dose study.

Acta crystallographica. Section D, Structural biology·2026
Same author

Automated workflows for strategy computation and data collection at synchrotron beamlines.

Acta crystallographica. Section D, Structural biology·2026
Same author

Cell-derived Nanoparticles Provide a Robust Platform to Manufacture Therapeutic T cells.

Research square·2026
Same author

New targets and procedures for validating the valence geometry of nucleic acid structures.

Nucleic acids research·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Area of Science:

  • Structural Biology
  • Crystallography
  • Data Science

Background:

  • High-throughput X-ray diffraction experiments generate large datasets, posing challenges for data processing and analysis.
  • Novice users often struggle with interpreting complex outputs from various data processing software packages.
  • Challenges include unexpected crystal forms, handling issues, and suboptimal data collection strategies.

Purpose of the Study:

  • To identify common problems encountered during the initial stages of processing diffraction data.
  • To differentiate between unresolvable experimental issues and those amenable to post-experiment correction.
  • To introduce a new software package, autoPROC, designed to automate and guide data processing.

Main Methods:

  • Analysis of common difficulties in processing large diffraction image datasets.

More Related Videos

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

Automated Detection and Analysis of Exocytosis
13:28

Automated Detection and Analysis of Exocytosis

Published on: September 11, 2021

Related Experiment Videos

Last Updated: Jun 3, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

Automated Detection and Analysis of Exocytosis
13:28

Automated Detection and Analysis of Exocytosis

Published on: September 11, 2021

  • Development of the autoPROC software package integrating existing tools with new automated workflows.
  • Focus on automated treatment of multi-sweep datasets from multi-axis goniostats.

    • Main Results:

    • Identification of specific data characteristics that aid in diagnosing processing problems.
    • Demonstration of how to distinguish between problems requiring experimental redesign and those correctable post-experiment.
    • Successful integration of third-party programs and new tools within the autoPROC workflow.

    Conclusions:

    • The autoPROC software provides guidance and insight for offline processing of challenging diffraction data.
    • Automated analysis of multi-sweep datasets is a key feature for improving data processing efficiency.
    • Addressing common processing difficulties early can facilitate the path from data collection to structural model interpretation.