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Solution scattering at the Life Science X-ray Scattering (LiX) beamline
This work reports the instrumentation and software implementation at the Life Science X-ray Scattering (LiX) beamline at NSLS-II in support of biomolecular solution scattering. For automated static measurements, samples are stored in PCR tubes and grouped in 18-position sample holders. Unattended op...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206542/ https://www.ncbi.nlm.nih.gov/pubmed/32381785 http://dx.doi.org/10.1107/S1600577520002362 |
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author | Yang, Lin Antonelli, Stephen Chodankar, Shirish Byrnes, James Lazo, Edwin Qian, Kun |
author_facet | Yang, Lin Antonelli, Stephen Chodankar, Shirish Byrnes, James Lazo, Edwin Qian, Kun |
author_sort | Yang, Lin |
collection | PubMed |
description | This work reports the instrumentation and software implementation at the Life Science X-ray Scattering (LiX) beamline at NSLS-II in support of biomolecular solution scattering. For automated static measurements, samples are stored in PCR tubes and grouped in 18-position sample holders. Unattended operations are enabled using a six-axis robot that exchanges sample holders between a storage box and a sample handler, transporting samples from the PCR tubes to the X-ray beam for scattering measurements. The storage box has a capacity of 20 sample holders. At full capacity, the measurements on all samples last for ∼9 h. For in-line size-exclusion chromatography, the beamline-control software coordinates with a commercial high-performance liquid chromatography (HPLC) system to measure multiple samples in batch mode. The beamline can switch between static and HPLC measurements instantaneously. In all measurements, the scattering data span a wide q-range of typically 0.006–3.2 Å(−1). Functionalities in the Python package py4xs have been developed to support automated data processing, including azimuthal averaging, merging data from multiple detectors, buffer scattering subtraction, data storage in HDF5 format and exporting the final data in a three-column text format that is acceptable by most data analysis tools. These functionalities have been integrated into graphical user interfaces that run in Jupyter notebooks, with hooks for external data analysis software. |
format | Online Article Text |
id | pubmed-7206542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-72065422020-05-19 Solution scattering at the Life Science X-ray Scattering (LiX) beamline Yang, Lin Antonelli, Stephen Chodankar, Shirish Byrnes, James Lazo, Edwin Qian, Kun J Synchrotron Radiat Beamlines This work reports the instrumentation and software implementation at the Life Science X-ray Scattering (LiX) beamline at NSLS-II in support of biomolecular solution scattering. For automated static measurements, samples are stored in PCR tubes and grouped in 18-position sample holders. Unattended operations are enabled using a six-axis robot that exchanges sample holders between a storage box and a sample handler, transporting samples from the PCR tubes to the X-ray beam for scattering measurements. The storage box has a capacity of 20 sample holders. At full capacity, the measurements on all samples last for ∼9 h. For in-line size-exclusion chromatography, the beamline-control software coordinates with a commercial high-performance liquid chromatography (HPLC) system to measure multiple samples in batch mode. The beamline can switch between static and HPLC measurements instantaneously. In all measurements, the scattering data span a wide q-range of typically 0.006–3.2 Å(−1). Functionalities in the Python package py4xs have been developed to support automated data processing, including azimuthal averaging, merging data from multiple detectors, buffer scattering subtraction, data storage in HDF5 format and exporting the final data in a three-column text format that is acceptable by most data analysis tools. These functionalities have been integrated into graphical user interfaces that run in Jupyter notebooks, with hooks for external data analysis software. International Union of Crystallography 2020-03-31 /pmc/articles/PMC7206542/ /pubmed/32381785 http://dx.doi.org/10.1107/S1600577520002362 Text en © Lin Yang et al. 2020 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Beamlines Yang, Lin Antonelli, Stephen Chodankar, Shirish Byrnes, James Lazo, Edwin Qian, Kun Solution scattering at the Life Science X-ray Scattering (LiX) beamline |
title | Solution scattering at the Life Science X-ray Scattering (LiX) beamline |
title_full | Solution scattering at the Life Science X-ray Scattering (LiX) beamline |
title_fullStr | Solution scattering at the Life Science X-ray Scattering (LiX) beamline |
title_full_unstemmed | Solution scattering at the Life Science X-ray Scattering (LiX) beamline |
title_short | Solution scattering at the Life Science X-ray Scattering (LiX) beamline |
title_sort | solution scattering at the life science x-ray scattering (lix) beamline |
topic | Beamlines |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206542/ https://www.ncbi.nlm.nih.gov/pubmed/32381785 http://dx.doi.org/10.1107/S1600577520002362 |
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