Evidence map›Paper›PMID 27484166›Full record

ReviewThe Analyst2016

Infrared matrix-assisted laser desorption electrospray ionization mass spectrometry imaging analysis of biospecimens.

M T Bokhart, D C Muddiman

Abstract readReview
In one paragraph

Review in The Analyst, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  5. Feasibility of IR-MALDESI Mass Spectrometry Imaging of PFAS.Journal of mass spectrometry : JMS · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Quantitative mass spectrometry imaging (qMSI): A tutorial.Journal of mass spectrometry : JMS · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. SMART: A data reporting standard for mass spectrometry imaging.Journal of mass spectrometry : JMS · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  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

2 authors.

M T BokhartW.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, USA. david_muddiman@ncsu.edu.
D C Muddiman

Funding

Development and Application of New Ionization Methods for Biological Mass SpectrometryR01GM087964 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MUDDIMAN, DAVID C. · 2010 to 2025
$4.7M
NIGMS NIH HHS R01 GM087964
6 · The paper itself

Abstract

Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) mass spectrometry imaging (MSI) is a technique well suited for analysis of biological specimens. This tutorial review focuses on recent advancements and applications of IR-MALDESI MSI to better understand key biological questions. Through optimization of user-defined source parameters, comprehensive and quantitative MSI data can be obtained for a variety of analytes. The effect of an ice matrix layer is well defined in the context of desorption dynamics and resulting ion abundance. Optimized parameters and careful control of conditions affords quantitative MSI data which provides valuable information for targeted, label-free drug distribution studies and untargeted metabolomic datasets. Challenges and limitations of MSI using IR-MALDESI are addressed in the context of the bioimaging field.

Indexed as

Histocytological Preparation TechniquesSpectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID27484166
PMCPMC5007172

What OpenQuestion holds

Textmetadata
LicenceTDM
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.