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Related Concept Videos

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

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In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
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Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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Inductively coupled plasma (ICP) is the most widely used plasma source in atomic emission spectroscopy (AES), also known as Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). The ICP source, or torch, consists of three concentric quartz tubes with argon gas flowing through them. A spark from a Tesla coil initiates the ionization of argon, generating a high-temperature plasma.
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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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LA-iMageS: a software for elemental distribution bioimaging using LA-ICP-MS data.

Hugo López-Fernández1, Gustavo de S Pessôa2, Marco A Z Arruda2

  • 1ESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.

Journal of Cheminformatics
|December 6, 2016
PubMed
Summary

This study introduces LA-iMageS, a free, open-source software for generating high-quality elemental distribution bioimages from laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) data. The application offers customizable visualizations, making complex elemental imaging accessible to more researchers.

Keywords:
Elemental distributionLA–ICP–MS imagingLaser ablationSoftware

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Area of Science:

  • Geochemistry
  • Biomedical imaging
  • Analytical chemistry

Background:

  • Elemental distribution imaging is crucial in biology, paleontology, and biomedicine.
  • Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) provides high-resolution, sensitive elemental imaging.
  • Processing the large datasets generated by LA-ICP-MS requires specialized software.

Purpose of the Study:

  • To introduce LA-iMageS, an open-source, multiplatform application for processing LA-ICP-MS data.
  • To provide a user-friendly and efficient tool for generating elemental distribution bioimages.
  • To offer advanced customization options for image visualization.

Main Methods:

  • Development of LA-iMageS, a free and open-source software application.
  • Implementation of automated processing for LA-ICP-MS data in PerkinElmer Elan XL format.
  • Integration of features for image customization, including color maps, resolution adjustment, and 2D/3D views.

Main Results:

  • LA-iMageS enables fast and automatic generation of high-quality elemental distribution bioimages.
  • The software supports direct export of results for further analysis in external applications.
  • Users can customize visualizations, enhancing the interpretability of elemental distribution data.

Conclusions:

  • LA-iMageS addresses the need for accessible and powerful software for LA-ICP-MS elemental imaging.
  • The open-source nature and user-friendly interface of LA-iMageS promote wider adoption in research.
  • Customization features empower researchers to generate publication-ready elemental distribution bioimages.