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An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering
Published on: July 6, 2019
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RoboDiff: combining a sample changer and goniometer for highly automated macromolecular crystallography experiments
Didier Nurizzo1, Matthew W Bowler2, Hugo Caserotto1
1European Synchrotron Radiation Facility, 71 Avenue des Martyrs, CS 40220, F-38043 Grenoble, France.
Acta Crystallographica. Section D, Structural Biology
|August 5, 2016
Summary
A new automated sample changer, RoboDiff, has been developed for macromolecular crystallography (MX) beamlines. This robotic system enables fully unattended sample mounting and diffraction data collection, processing over 20,000 samples automatically.
Area of Science:
- Structural Biology
- Crystallography
- Biophysics
Background:
- Automated sample mounting is crucial for modern macromolecular crystallography (MX) beamlines.
- Existing robotic sample changers have evolved to enhance capacity, reliability, and speed.
Purpose of the Study:
- To describe the development of RoboDiff, a novel sample changer for the MASSIF-1 beamline at the European Synchrotron Radiation Facility (ESRF).
- To enable completely unattended sample mounting and diffraction data collection.
Main Methods:
- Development of RoboDiff, a sample changer based on an industrial six-axis robot.
- Integration of a high-capacity dewar, functioning as both a sample changer and a high-accuracy goniometer.
- Implementation of comprehensive diagnostics for unattended operation from mounting to data collection.
Main Results:
- RoboDiff has been operational at the MASSIF-1 beamline since September 2014.
- The system has successfully processed over 20,000 samples completely automatically.
- High level of diagnostics ensures reliable unattended operation.
Conclusions:
- RoboDiff represents a significant advancement in automated sample handling for MX.
- The system facilitates fully unattended diffraction data collection, increasing throughput and efficiency.
- Successful long-term deployment demonstrates the robustness and reliability of the automated system.

