Evidence map›Paper›PMID 30626890›Full record

ArticleScientific reports2019

Increased throughput and ultra-high mass resolution in DESI FT-ICR MS imaging through new-generation external data acquisition system and advanced data processing approaches.

Pieter C Kooijman, Konstantin O Nagornov, Anton N Kozhinov, David P A Kilgour, Yury O Tsybin, Ron M A Heeren, Shane R Ellis

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Novel Hybrid Quadrupole-Multireflecting Time-of-Flight Mass Spectrometry System.Journal of the American Society for Mass Spectrometry · 2023
    Article
  11. Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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

7 authors.

Pieter C KooijmanMaastricht University, Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht, 6229ER, The Netherlands.ORCID http://orcid.org/0000-0001-8868-3616
Konstantin O NagornovSpectroswiss, EPFL Innovation Park, 1015, Lausanne, Switzerland.
Anton N KozhinovSpectroswiss, EPFL Innovation Park, 1015, Lausanne, Switzerland.
David P A KilgourNottingham Trent University, Department of Chemistry and Forensics, Nottingham, NG11 8NS, United Kingdom.
Yury O TsybinSpectroswiss, EPFL Innovation Park, 1015, Lausanne, Switzerland.
Ron M A HeerenMaastricht University, Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht, 6229ER, The Netherlands.ORCID http://orcid.org/0000-0002-6533-7179
Shane R EllisMaastricht University, Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht, 6229ER, The Netherlands. s.ellis@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0002-3326-5991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Desorption electrospray ionisation-mass spectrometry imaging (DESI-MSI) is a powerful imaging technique for the analysis of complex surfaces. However, the often highly complex nature of biological samples is particularly challenging for MSI approaches, as options to appropriately address molecular complexity are limited. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) offers superior mass accuracy and mass resolving power, but its moderate throughput inhibits broader application. Here we demonstrate the dramatic gains in mass resolution and/or throughput of DESI-MSI on an FT-ICR MS by developing and implementing a sophisticated data acquisition and data processing pipeline. The presented pipeline integrates, for the first time, parallel ion accumulation and detection, post-processing absorption mode Fourier transform and pixel-by-pixel internal re-calibration. To achieve that, first, we developed and coupled an external high-performance data acquisition system to an FT-ICR MS instrument to record the time-domain signals (transients) in parallel with the instrument's built-in electronics. The recorded transients were then processed by the in-house developed computationally-efficient data processing and data analysis software. Importantly, the described pipeline is shown to be applicable even to extremely large, up to 1 TB, imaging datasets. Overall, this approach provides improved analytical figures of merits such as: (i) enhanced mass resolution at no cost in experimental time; and (ii) up to 4-fold higher throughput while maintaining a constant mass resolution. Using this approach, we not only demonstrate the record 1 million mass resolution for lipid imaging from brain tissue, but explicitly show such mass resolution is required to resolve the complexity of the lipidome.

Identifiers

PMID30626890
PMCPMC6327097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.