Evidence map›Paper›PMID 38638699›Full record

ArticleStructural dynamics (Melville, N.Y.)2024

Kilohertz droplet-on-demand serial femtosecond crystallography at the European XFEL station FXE.

Samuel Perrett, Alisia Fadini, Christopher D M Hutchison, Sayantan Bhattacharya, Cade Morrison, Oleksii Turkot, Mads Bregenholt Jakobsen, Michael Größler, José Licón-Saláiz, Florian Griese and 11 more

Abstract read
In one paragraph

Article in Structural dynamics (Melville, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Samuel PerrettDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-6728-0778
Alisia FadiniDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, United Kingdom.
Sayantan BhattacharyaDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0009-0009-6251-2494
Cade MorrisonDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0009-0005-6104-3236
Oleksii TurkotEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Mads Bregenholt JakobsenCenter for Data and Computing in Natural Sciences (CDCS), Notkestrasse 10, D-22607 Hamburg, Germany.ORCID https://orcid.org/0000-0003-0421-5343
Michael GrößlerCenter for Data and Computing in Natural Sciences (CDCS), Notkestrasse 10, D-22607 Hamburg, Germany.
José Licón-SaláizCenter for Data and Computing in Natural Sciences (CDCS), Notkestrasse 10, D-22607 Hamburg, Germany.
Florian Griese
Samuel FlewettCenter for Data and Computing in Natural Sciences (CDCS), Notkestrasse 10, D-22607 Hamburg, Germany.
Joana ValerioEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Joachim SchulzEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.ORCID https://orcid.org/0000-0002-9310-8832
Mykola BiednovEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Yifeng JiangEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.ORCID https://orcid.org/0000-0003-0685-0498
Huijong HanEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Hazem YousefEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Dmitry KhakhulinEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Christopher MilneEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.ORCID https://orcid.org/0000-0003-4714-9139
Anton BartyCenter for Data and Computing in Natural Sciences (CDCS), Notkestrasse 10, D-22607 Hamburg, Germany.
Jasper J van ThorDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0001-6356-3116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray Free Electron Lasers (XFELs) allow the collection of high-quality serial femtosecond crystallography data. The next generation of megahertz superconducting FELs promises to drastically reduce data collection times, enabling the capture of more structures with higher signal-to-noise ratios and facilitating more complex experiments. Currently, gas dynamic virtual nozzles (GDVNs) stand as the sole delivery method capable of best utilizing the repetition rate of megahertz sources for crystallography. However, their substantial sample consumption renders their use impractical for many protein targets in serial crystallography experiments. Here, we present a novel application of a droplet-on-demand injection method, which allowed operation at 47 kHz at the European XFEL (EuXFEL) by tailoring a multi-droplet injection scheme for each macro-pulse. We demonstrate a collection rate of 150 000 indexed patterns per hour. We show that the performance and effective data collection rate are comparable to GDVN, with a sample consumption reduction of two orders of magnitude. We present lysozyme crystallographic data using the Large Pixel Detector at the femtosecond x-ray experiment endstation. Significant improvement of the crystallographic statistics was made by correcting for a systematic drift of the photon energy in the EuXFEL macro-pulse train, which was characterized from indexing the individual frames in the pulse train. This is the highest resolution protein structure collected and reported at the EuXFEL at 1.38 Å resolution.

Identifiers

PMID38638699
PMCPMC11026113

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.