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MXCuBE3 : A New Era of MX-Beamline Control Begins

Müller, Uwe LU ; Thunnissen, Marjolein LU ; Nan, Jie LU ; Eguiraun, Mikel LU ; Bolmsten, Fredrick ; Milàn-Otero, Antonio LU ; Guijarro, Mathias ; Oscarsson, Markus ; de Sanctis, Daniele and Leonard, Gordon (2017) In Synchrotron Radiation News 30(1). p.22-27
Abstract

The outstanding success of structural biology within the last two decades is closely related to the development and evolution of macromolecular crystallography (MX) beamlines. Indeed, many of today's synchrotron-based MX experimental sessions aim for fast but rigorous evaluations and data collections from very large numbers of samples [1–7]. To facilitate this, sample changing on most MX beamlines is now carried out by robots and the centering of a crystal in the X-ray beam to micrometer precision is now automatically performed using either optical or diffraction-based techniques [8]. Once a crystal is centered, users have a wide array of options at their disposal to prepare any given experiment. This includes: X-ray fluorescence (XRF)... (More)

The outstanding success of structural biology within the last two decades is closely related to the development and evolution of macromolecular crystallography (MX) beamlines. Indeed, many of today's synchrotron-based MX experimental sessions aim for fast but rigorous evaluations and data collections from very large numbers of samples [1–7]. To facilitate this, sample changing on most MX beamlines is now carried out by robots and the centering of a crystal in the X-ray beam to micrometer precision is now automatically performed using either optical or diffraction-based techniques [8]. Once a crystal is centered, users have a wide array of options at their disposal to prepare any given experiment. This includes: X-ray fluorescence (XRF) [9] analysis to confirm the presence of anomalous scatterers in crystals; X-ray absorption near-edge scans (XANES) to determine the best X-ray wavelengths for MAD/SAD data collection [10]; and the probing of the diffraction properties of crystals to determine the best crystal, or area of a crystal [11], for data collection. All of these operations are now also automated, as is the collection of the final diffraction data set either from single or multiple crystals and the subsequent data analysis and reduction.

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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Synchrotron Radiation News
volume
30
issue
1
pages
6 pages
publisher
Gordon Publications
external identifiers
  • scopus:85010872079
ISSN
0894-0886
DOI
10.1080/08940886.2017.1267564
language
English
LU publication?
yes
id
1b1e3b8e-bf3c-43aa-8677-62bf43c597ba
date added to LUP
2017-03-15 14:31:20
date last changed
2022-04-24 22:37:40
@article{1b1e3b8e-bf3c-43aa-8677-62bf43c597ba,
  abstract     = {{<p>The outstanding success of structural biology within the last two decades is closely related to the development and evolution of macromolecular crystallography (MX) beamlines. Indeed, many of today's synchrotron-based MX experimental sessions aim for fast but rigorous evaluations and data collections from very large numbers of samples [1–7]. To facilitate this, sample changing on most MX beamlines is now carried out by robots and the centering of a crystal in the X-ray beam to micrometer precision is now automatically performed using either optical or diffraction-based techniques [8]. Once a crystal is centered, users have a wide array of options at their disposal to prepare any given experiment. This includes: X-ray fluorescence (XRF) [9] analysis to confirm the presence of anomalous scatterers in crystals; X-ray absorption near-edge scans (XANES) to determine the best X-ray wavelengths for MAD/SAD data collection [10]; and the probing of the diffraction properties of crystals to determine the best crystal, or area of a crystal [11], for data collection. All of these operations are now also automated, as is the collection of the final diffraction data set either from single or multiple crystals and the subsequent data analysis and reduction.</p>}},
  author       = {{Müller, Uwe and Thunnissen, Marjolein and Nan, Jie and Eguiraun, Mikel and Bolmsten, Fredrick and Milàn-Otero, Antonio and Guijarro, Mathias and Oscarsson, Markus and de Sanctis, Daniele and Leonard, Gordon}},
  issn         = {{0894-0886}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{1}},
  pages        = {{22--27}},
  publisher    = {{Gordon Publications}},
  series       = {{Synchrotron Radiation News}},
  title        = {{MXCuBE3 : A New Era of MX-Beamline Control Begins}},
  url          = {{http://dx.doi.org/10.1080/08940886.2017.1267564}},
  doi          = {{10.1080/08940886.2017.1267564}},
  volume       = {{30}},
  year         = {{2017}},
}