Evidence map›Paper›PMID 26972785›Full record

ReviewMethods (San Diego, Calif.)2016

High resolution laser mass spectrometry bioimaging.

Kermit K Murray, Chinthaka A Seneviratne, Suman Ghorai

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2016. 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
–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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. IR-MALDESI Mass Spectrometry Imaging at 50 Micron Spatial Resolution.Journal of the American Society for Mass Spectrometry · 2017
    Article
  14. Article
  15. 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

3 authors.

Kermit K MurrayDepartment of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA. Electronic address: kkmurray@lsu.edu.
Chinthaka A SeneviratneDepartment of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA.
Suman GhoraiDepartment of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA.

Funding

Nanoscale Laser Ablation Capture Mass Spectrometry for Single Cell ProteomicsR21DA035504 · NIDA · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI MURRAY, KERMIT KING · 2012 to 2013
$345k
NIDA NIH HHS R21 DA035504
6 · The paper itself

Abstract

Mass spectrometry imaging (MSI) was introduced more than five decades ago with secondary ion mass spectrometry (SIMS) and a decade later with laser desorption/ionization (LDI) mass spectrometry (MS). Large biomolecule imaging by matrix-assisted laser desorption/ionization (MALDI) was developed in the 1990s and ambient laser MS a decade ago. Although SIMS has been capable of imaging with a moderate mass range at sub-micrometer lateral resolution from its inception, laser MS requires additional effort to achieve a lateral resolution of 10μm or below which is required to image at the size scale of single mammalian cells. This review covers untargeted large biomolecule MSI using lasers for desorption/ionization or laser desorption and post-ionization. These methods include laser microprobe (LDI) MSI, MALDI MSI, laser ambient and atmospheric pressure MSI, and near-field laser ablation MS. Novel approaches to improving lateral resolution are discussed, including oversampling, beam shaping, transmission geometry, reflective and through-hole objectives, microscope mode, and near-field optics.

Indexed as

LasersMicroscopyMolecular ImagingMolecular WeightSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationImagingMALDIMass spectrometryResolution

Identifiers

PMID26972785
PMCPMC4937799

What OpenQuestion holds

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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.