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Related Concept Videos

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

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

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 passed on to...
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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Related Experiment Video

Updated: Jun 3, 2026

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)
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Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)

Published on: March 24, 2016

Development of imaging mass spectrometry (IMS) dataset extractor software, IMS convolution.

Takahiro Hayasaka1, Naoko Goto-Inoue, Masaru Ushijima

  • 1Department of Molecular Anatomy, Molecular Imaging Frontier Research Center, Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu, Shizuoka, Japan.

Analytical and Bioanalytical Chemistry
|March 19, 2011
PubMed
Summary

Imaging mass spectrometry (IMS) analysis of tissue is challenging due to large datasets. New software, IMS Convolution with regions of interest (ROI), automatically extracts meaningful biomolecular signals, simplifying complex data analysis for researchers.

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Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)
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Published on: March 24, 2016

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Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry
06:21

Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry

Published on: July 12, 2013

Area of Science:

  • Biomedical imaging
  • Analytical chemistry
  • Mass spectrometry

Background:

  • Imaging mass spectrometry (IMS) visualizes biomolecules in tissues.
  • Its application in pathology generates vast datasets.
  • Extracting meaningful signals from IMS data is difficult for new users.

Purpose of the Study:

  • To develop automated software for extracting signals from IMS datasets.
  • To compare manual and automated peak extraction methods.
  • To simplify IMS data analysis for researchers.

Main Methods:

  • Developed IMS Convolution software with regions of interest (ROI).
  • Acquired IMS dataset from a mouse eyeball section using a mass microscope.
  • Compared manual peak extraction with automated extraction using IMS Convolution.

Main Results:

  • IMS Convolution automatically extracted peaks efficiently.
  • Manual analysis identified 16 high-intensity peaks.
  • Automated analysis using IMS Convolution with ROIs identified phosphatidylcholine species in specific tissue areas.

Conclusions:

  • IMS Convolution with ROIs automates meaningful signal extraction from large IMS datasets.
  • The software aids both inexperienced and experienced researchers.
  • Facilitates efficient analysis of complex IMS data for pathological samples.