Evidence map›Paper›PMID 30456596›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

MALDI MS Imaging at Acquisition Rates Exceeding 100 Pixels per Second.

Antonín Bednařík, Markéta Machálková, Eugene Moskovets, Kateřina Coufalíková, Pavel Krásenský, Pavel Houška, Jiří Kroupa, Jarmila Navrátilová, Jan Šmarda, Jan Preisler

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  3. Article
  4. On-tissue dataset-dependent MALDI-TIMS-MSNature communications · 2023
    Article
  5. Prospective on Imaging Mass Spectrometry in Clinical Diagnostics.Molecular & cellular proteomics : MCP · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Imaging Isomers on a Biological Surface: A Review.Mass spectrometry (Tokyo, Japan) · 2019
    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

10 authors at 5 institutions in 2 countries.

Antonín BednaříkDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
Markéta MachálkováDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
Eugene MoskovetsMassTech Inc., Columbia, MD, USA.
Kateřina CoufalíkováDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
Pavel KrásenskýDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
Pavel HouškaFaculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic.
Jiří KroupaFaculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic.
Jarmila NavrátilováDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic.
Jan ŠmardaDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic.
Jan PreislerDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic. preisler@chemi.muni.cz.ORCID http://orcid.org/0000-0002-9819-1284
Masaryk University · CZBrno University of Technology · CZCentral European Institute of Technology – Masaryk University · CZMassTech (United States) · USSt. Anne's University Hospital Brno · CZ

Funding

Grantová Agentura České Republiky 15-05387SGrantová Agentura Masarykovy Univerzity (CZ) MUNI/G/0974/2016Ministerstvo Školství, Mládeže a Tělovýchovy LO1202Ministerstvo Školství, Mládeže a Tělovýchovy LQ1601Ministerstvo Školství, Mládeže a Tělovýchovy LQ1605
6 · The paper itself

Abstract

The practicality of matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) applied to molecular imaging of biological tissues is limited by the analysis speed. Typically, a relatively low speed of stop-and-go micromotion of XY stages is considered as a factor substantially reducing the rate with which fresh sample material can be supplied to the laser spot. The sample scan rate in our laboratory-built high-throughput imaging TOF mass spectrometer was significantly improved through the use of a galvanometer-based optical scanner performing fast laser spot repositioning on a target plate. The optical system incorporated into the ion source of our MALDI TOF mass spectrometer allowed focusing the laser beam via a modified grid into a 10-μm round spot. This permitted the acquisition of high-resolution MS images with a well-defined pixel size at acquisition rates exceeding 100 pixel/s. The influence of selected parameters on the total MS imaging time is discussed. The new scanning technique was employed to display the distribution of an antitumor agent in 3D colorectal adenocarcinoma cell aggregates; a single MS image comprising 100 × 100 pixels with 10-μm lateral resolution was recorded in approximately 70 s. Graphical Abstract.

Indexed as

ElectrodesEquipment DesignHT29 CellsHumansImage Processing, Computer-AssistedLasersSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpheroids, Cellular3D cell aggregatesColorectal adenocarcinomaGrid ion sourceHigh throughputLaser beam scanningMALDIMass spectrometry imagingMSISpheroidsTOF

Identifiers

PMID30456596
OpenAlexW2901194729

What OpenQuestion holds

Textmetadata
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.