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

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

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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.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalJournal of Cheminformatics
Volume8
Issue number1
DOIs
Publication statusPublished - 18 Nov 2016

Keywords

  • Elemental distribution
  • LA-ICP-MS imaging
  • Laser ablation
  • Software

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    López-Fernández, H., Pessôa, G. S., Arruda, M. A. Z., Capelo-Martínez, J. L., Fdez-Riverola, F., Glez-Peña, D., & Reboiro-Jato, M. (2016). LA-iMageS: a software for elemental distribution bioimaging using LA-ICP-MS data. Journal of Cheminformatics, 8(1), 1-10. https://doi.org/10.1186/s13321-016-0178-7