Evidence map›Paper›PMID 27917244›Full record

ArticleJournal of cheminformatics2016

LA-iMageS: a software for elemental distribution bioimaging using LA-ICP-MS data.

Hugo López-Fernández, Gustavo de S Pessôa, Marco A Z Arruda, José L Capelo-Martínez, Florentino Fdez-Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cheminformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024
    Article
  4. Article
  5. MALDI and Trace Metal Analysis in Age-Related Macular Degeneration.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Spatial Heterogeneity of Cadmium Effects onMaterials (Basel, Switzerland) · 2019
    Article
  10. Review
  11. Review
  12. Article
  13. 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

7 authors.

Hugo López-FernándezESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.ORCID 0000-0002-6476-7206
Gustavo de S PessôaGroup of Spectrometry, Sample Preparation and Mechanization (GEPAM), Institute of Chemistry, University of Campinas, UNICAMP, PO Box 6154, Campinas, SP 13084-62 Brazil ; National Institute of Science and Technology for Bioanalytics, Institute of Chemistry, University of Campinas, UNICAMP, Campinas, SP 13083-862 Brazil.
Marco A Z ArrudaGroup of Spectrometry, Sample Preparation and Mechanization (GEPAM), Institute of Chemistry, University of Campinas, UNICAMP, PO Box 6154, Campinas, SP 13084-62 Brazil ; National Institute of Science and Technology for Bioanalytics, Institute of Chemistry, University of Campinas, UNICAMP, Campinas, SP 13083-862 Brazil.
José L Capelo-MartínezUCIBIO-REQUIMTE, Chemistry Department, Faculty of Science and Technology, University NOVA of Lisbon, 2829-516 Monte da Caparica, Portugal ; ProteoMass Scientific Society, Madan Parque, Rua dos Inventores, 2825-182 Caparica, Portugal.
Florentino Fdez-RiverolaESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.
Daniel Glez-PeñaESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.
Miguel Reboiro-JatoESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distribution of chemical elements in different types of samples is an important field in several research areas such as biology, paleontology or biomedicine, among others. Elemental distribution imaging by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is an effective technique for qualitative and quantitative imaging due to its high spatial resolution and sensitivity. By applying this technique, vast amounts of raw data are generated to obtain high-quality images, essentially making the use of specific LA-ICP-MS imaging software that can process such data absolutely mandatory. Since existing solutions are usually commercial or hard-to-use for average users, this work introduces LA-iMageS, an open-source, free-to-use multiplatform application for fast and automatic generation of high-quality elemental distribution bioimages from LA-ICP-MS data in the PerkinElmer Elan XL format, whose results can be directly exported to external applications for further analysis. A key strength of LA-iMageS is its substantial added value for users, with particular regard to the customization of the elemental distribution bioimages, which allows, among other features, the ability to change color maps, increase image resolution or toggle between 2D and 3D visualizations.

Indexed as

Elemental distributionLA–ICP–MS imagingLaser ablationSoftware

Identifiers

PMID27917244
PMCPMC5116144

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LicenceCC BY
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Registered trials

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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.