Evidence map›Paper›PMID 23536269›Full record

ArticleJournal of the American Society for Mass Spectrometry2013

MSiReader: an open-source interface to view and analyze high resolving power MS imaging files on Matlab platform.

Guillaume Robichaud, Kenneth P Garrard, Jeremy A Barry, David C Muddiman

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02641444 (Antiretroviral Localization in Gut-Associated Lymphoid Tissue and Lower Female Genital Tract Tissue of HIV+ Subjects), which is not on this map. Cited by 221 papers.

0numbers the graph read from it
0cells of the map it votes in
221citing 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.

NCT02641444 terminatednot on this mapstarted 2016, after this paper: background citation

Antiretroviral Localization in Gut-Associated Lymphoid Tissue and Lower Female Genital Tract Tissue of HIV+ Subjects

TypeobservationalSponsorUniversity of North Carolina, Chapel HillRan2016 to 2017Enrolled5ConditionsHIVArmsBlood plasma collection, Cervical and Vaginal Biopsy, Colonoscopy with Ileal and Rectal Biopsy
3 · Its place in the literature

Who cites it

221 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Enhancing the Sensitivity of Mass Spectrometry Imaging through Spatial Signal Averaging.Journal of the American Society for Mass Spectrometry · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A Novel Peak-Shape Aware Approach for Mass Alignment in Mass Spectrometry.Rapid communications in mass spectrometry : RCM · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. UPLC-ESI-TOF-MS Profiling of Metabolome Alterations in Barley (Journal of agricultural and food chemistry · 2025
    Article

161 more citing papers are in PubMed but not listed here.

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

4 authors.

Guillaume RobichaudW. M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA.
Kenneth P Garrard
Jeremy A Barry
David 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 GM087964NIGMS NIH HHS R01GM087964
6 · The paper itself

Abstract

During the past decade, the field of mass spectrometry imaging (MSI) has greatly evolved, to a point where it has now been fully integrated by most vendors as an optional or dedicated platform that can be purchased with their instruments. However, the technology is not mature and multiple research groups in both academia and industry are still very actively studying the fundamentals of imaging techniques, adapting the technology to new ionization sources, and developing new applications. As a result, there important varieties of data file formats used to store mass spectrometry imaging data and, concurrent to the development of MSi, collaborative efforts have been undertaken to introduce common imaging data file formats. However, few free software packages to read and analyze files of these different formats are readily available. We introduce here MSiReader, a free open source application to read and analyze high resolution MSI data from the most common MSi data formats. The application is built on the Matlab platform (Mathworks, Natick, MA, USA) and includes a large selection of data analysis tools and features. People who are unfamiliar with the Matlab language will have little difficult navigating the user-friendly interface, and users with Matlab programming experience can adapt and customize MSiReader for their own needs.

Indexed as

SoftwareUser-Computer InterfaceAlgorithmsComputational BiologyImage Processing, Computer-AssistedInternetMass Spectrometry

Identifiers

PMID23536269
PMCPMC3693088

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.