Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Imaging mass spectrometry at cellular length scales.

A F Maarten Altelaar1, Stefan L Luxembourg, Liam A McDonnell

  • 1FOM Institute for Atomic and Molecular Physics, Kruislaan 407, 1098 SJ Amsterdam, The Netherlands.

Nature Protocols
|June 5, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Single-Ion Imaging Native Mass Spectrometry: Unraveling the Structural Features and Dissociation Energetics of Macromolecular Assemblies.

Journal of the American Society for Mass Spectrometry·2026
Same author

Spatiotemporal Mapping of Drug Incorporation in Human Nails by MALDI-FTICR-MSI.

Journal of the American Society for Mass Spectrometry·2026
Same author

Isotope Decluttering Reduces Spectral Complexity while Maintaining Protein Structure.

Analytical chemistry·2026
Same author

The multidimensional signature of oxysterols: Comparative RPLC-HRMS-based profiling of healthy and pancreatic tumour cell lines.

Talanta·2026
Same author

Metabolic trajectories in developing human neocortical neurons.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Mass spectrometry imaging in spatial biology of pancreatic cancer.

The Analyst·2026

This protocol details imaging mass spectrometry (IMS) techniques for analyzing molecular distribution in biological samples. It covers sample preparation and data analysis for drug uptake and biomarker discovery.

Area of Science:

  • Molecular imaging and spatial analysis
  • Biomarker discovery and distribution studies
  • Mass spectrometry techniques in life sciences

Background:

  • Imaging mass spectrometry (IMS) enables direct visualization of molecular identity and spatial distribution in biological samples.
  • Existing methods require optimized sample preparation to maintain analyte integrity and maximize signal.
  • IMS is a powerful tool for investigating drug transport, biological processes, and biomarker localization.

Purpose of the Study:

  • To present a protocol for retrieving molecular information from tissue sections using IMS.
  • To detail sample preparation steps for matrix-enhanced (ME) and metal-assisted (MetA) secondary ion mass spectrometry (SIMS), and matrix-assisted laser desorption/ionization (MALDI) IMS.
  • To highlight the application of IMS in drug uptake studies, biological processing, and biomarker distribution analysis.

Related Experiment Videos

Main Methods:

  • Sample preparation protocols for optimal signal intensity and minimal analyte alteration.
  • Application of matrix-enhanced (ME) and metal-assisted (MetA) secondary ion mass spectrometry (SIMS).
  • Utilization of matrix-assisted laser desorption/ionization (MALDI) IMS.
  • Development of bioinformatics approaches for analyzing large IMS datasets.

Main Results:

  • Successful retrieval of molecular information and spatial distribution from tissue sections.
  • Demonstration of IMS as a discovery tool for drug transport, biological processing, and biomarker distributions.
  • Integration of bioinformatics tools for efficient data extraction and interpretation.

Conclusions:

  • The presented IMS protocols provide a comprehensive approach for molecular investigation in biological samples.
  • Optimized sample preparation and advanced bioinformatics are crucial for successful IMS analysis.
  • IMS techniques offer unique insights into complex biological systems and disease mechanisms.