Evidence map›Paper›PMID 37526449›Full record

ArticleJournal of the American Society for Mass Spectrometry2023

Maximized Spatial Information and Minimized Acquisition Time of Top-Hat IR-MALDESI-MSI of Zebrafish Using Nested Regions of Interest (nROIs).

Alena N Joignant, Morgan M Ritter, Kevan T Knizner, Kenneth P Garrard, Seth W Kullman, David C Muddiman

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Oversampling for Enhanced Spatial Resolution of Zebrafish by Top-Hat IR-MALDESI-MSI.Journal of the American Society for Mass Spectrometry · 2024
    Article
  3. 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

6 authors.

Alena N JoignantFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.
Morgan M RitterToxicology Program, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, United States.
Kevan T KniznerFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.
Kenneth P GarrardFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.
Seth W KullmanToxicology Program, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, United States.
David C MuddimanFTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID 0000-0003-2216-499X

Funding

TRAINING IN BIOCHEMICAL AND ENVIRONMENTAL TOXICOLOGYT32ES007046 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Seth William Kullman · 1985 to 2026
$5.1M
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
NC STATE MOLECULAR BIOTECHNOLOGY TRAINING PROGRAM (MBTP)T32GM133366 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Jason M. Haugh, Robert M Kelly · 2020 to 2026
$3.3M
NIEHS NIH HHS T32 ES007046NIGMS NIH HHS R01 GM087964NIGMS NIH HHS T32 GM133366
6 · The paper itself

Abstract

Increasing the spatial resolution of a mass spectrometry imaging (MSI) method results in a more defined heatmap of the spatial distribution of molecules across a sample, but it is also associated with the disadvantage of increased acquisition time. Decreasing the area of the region of interest to achieve shorter durations results in the loss of potentially valuable information in larger specimens. This work presents a novel MSI method to reduce the time of MSI data acquisition with variable step size imaging: nested regions of interest (nROIs). Using nROIs, a small ROI may be imaged at a higher spatial resolution while nested inside a lower-spatial-resolution peripheral ROI. This conserves the maximal spatial and chemical information generated from target regions while also decreasing the necessary acquisition time. In this work, the nROI method was characterized on mouse liver and applied to top-hat MSI of zebrafish using a novel optical train, which resulted in a significant improvement in both acquisition time and spatial detail of the zebrafish. The nROI method can be employed with any step size pairing and adapted to any method in which the acquisition time of larger high-resolution ROIs poses a practical challenge.

Indexed as

ZebrafishAnimalsMiceSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTime FactorsIR-MALDESImass spectrometry imagingnested region of interestspatial resolutionzebrafish

Identifiers

PMID37526449
PMCPMC11137852

What Socratic holds

Textmetadata
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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 Socratic graph.