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Mass Spectrometry Imaging

Overview of attention for book
Cover of 'Mass Spectrometry Imaging'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Imaging mass spectrometry: viewing the future.
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    Chapter 2 A Mass Spectrometry Primer for Mass Spectrometry Imaging
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    Chapter 3 Imaging of Metals, Metalloids, and Non-metals by Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) in Biological Tissues
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    Chapter 4 Lipid Detection, Identification, and Imaging Single Cells with SIMS
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    Chapter 5 The Application and Potential of Ion Mobility Mass Spectrometry in Imaging MS with a Focus on Lipids
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    Chapter 6 Quantitative imaging of chemical composition in single cells by secondary ion mass spectrometry: cisplatin affects calcium stores in renal epithelial cells.
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    Chapter 7 Imaging MALDI mass spectrometry of sphingolipids using an oscillating capillary nebulizer matrix application system.
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    Chapter 8 Mapping Pharmaceuticals in Rat Brain Sections Using MALDI Imaging Mass Spectrometry
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    Chapter 9 Laser Ablation Electrospray Ionization for Atmospheric Pressure Molecular Imaging Mass Spectrometry
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    Chapter 10 Matrix-Assisted Laser Desorption/Ionization and Nanoparticle-Based Imaging Mass Spectrometry for Small Metabolites: A Practical Protocol
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    Chapter 11 Cellular Imaging Using Matrix-Enhanced and Metal-Assisted SIMS
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    Chapter 12 Tandem Mass Spectrometric Methods for Phospholipid Analysis from Brain Tissue
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    Chapter 13 Chemical Imaging with Desorption Electrospray Ionization Mass Spectrometry
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    Chapter 14 Mass Spectrometry Imaging of Small Molecules Using Matrix-Enhanced Surface-Assisted Laser Desorption/Ionization Mass Spectrometry (ME-SALDI-MS)
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    Chapter 15 Preparation of Single Cells for Imaging Mass Spectrometry
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    Chapter 16 Applying Imaging ToF-SIMS and PCA in Differentiation of Tissue Types
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    Chapter 17 Direct Molecular Analysis of Whole-Body Animal Tissue Sections by MALDI Imaging Mass Spectrometry
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    Chapter 18 MALDI Direct Analysis and Imaging of Frozen Versus FFPE Tissues: What Strategy for Which Sample?
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    Chapter 19 On Tissue Protein Identification Improvement by N-Terminal Peptide Derivatization
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    Chapter 20 Specific MALDI-MSI: TAG-MASS
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    Chapter 21 Structurally Selective Imaging Mass Spectrometry by Imaging Ion Mobility-Mass Spectrometry
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    Chapter 22 Tutorial: Multivariate Statistical Treatment of Imaging Data for Clinical Biomarker Discovery
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    Chapter 23 Applications of MALDI-MSI to Pharmaceutical Research
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    Chapter 24 Tissue Preparation for the In Situ MALDI MS Imaging of Proteins, Lipids, and Small Molecules at Cellular Resolution
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    Chapter 25 Imaging of Similar Mass Neuropeptides in Neuronal Tissue by Enhanced Resolution MALDI MS with an Ion Trap – OrbitrapTM Hybrid Instrument
  27. Altmetric Badge
    Chapter 26 Mass Spectrometric Imaging of Neuropeptides in Decapod Crustacean Neuronal Tissues
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    Chapter 27 Mass Spectrometry Imaging Using the Stretched Sample Approach
Attention for Chapter 21: Structurally Selective Imaging Mass Spectrometry by Imaging Ion Mobility-Mass Spectrometry
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Chapter title
Structurally Selective Imaging Mass Spectrometry by Imaging Ion Mobility-Mass Spectrometry
Chapter number 21
Book title
Mass Spectrometry Imaging
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-746-4_21
Pubmed ID
20680602
Book ISBNs
978-1-60761-745-7, 978-1-60761-746-4
Authors

Jeffrey R. Enders, John A. McLean, Larissa S. Fenn

Abstract

This chapter describes the utility of structurally based separations combined with imaging mass spectrometry (MS) by ion mobility-MS (IM-MS) approaches. The unique capabilities of combining rapid (mus-ms) IM separations with imaging MS are detailed for an audience ranging from new to potential practitioners in IM-MS technology. Importantly, imaging IM-MS provides the ability to rapidly separate and elucidate various types of endogenous and exogenous biomolecules (e.g., nucleotides, carbohydrates, peptides, and lipids), including isobaric species. Drift tube and traveling wave IM-MS instrumentation are described and specific protocols are presented for calculating ion-neutral collision cross sections (i.e., apparent ion surface area or structure) from experimentally obtained IM-MS data. Special emphasis is placed on the use of imaging IM-MS for the analysis of samples in life sciences research (e.g., thin tissue sections), including selective imaging for peptide/protein and lipid distributions. Future directions for rapid and multiplexed imaging IM-MS/MS are detailed.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 53%
Researcher 4 27%
Professor 1 7%
Student > Doctoral Student 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Readers by discipline Count As %
Chemistry 9 60%
Agricultural and Biological Sciences 3 20%
Psychology 1 7%
Engineering 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2012.
All research outputs
#17,645,959
of 22,684,168 outputs
Outputs from Methods in molecular biology
#7,142
of 13,043 outputs
Outputs of similar age
#149,010
of 163,561 outputs
Outputs of similar age from Methods in molecular biology
#96
of 120 outputs
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So far Altmetric has tracked 13,043 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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