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Updated: Jul 24, 2025

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Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry
Published on: July 12, 2013
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Matrix Effects Free Imaging of Thin Tissue Sections Using Pneumatically Assisted Nano-DESI MSI.
Leonidas Mavroudakis1, Ingela Lanekoff2
1Department of Chemistry - BMC, Uppsala University, Uppsala, Sweden.
Methods in Molecular Biology (Clifton, N.J.)
|July 6, 2023
Summary
Mass spectrometry imaging reveals molecular interactions in tissues. A new method using pneumatically assisted nano-DESI MSI with internal standards eliminates matrix effects for accurate molecular distribution analysis.
Area of Science:
- Analytical Chemistry
- Biomedical Imaging
- Mass Spectrometry
Background:
- Mass spectrometry imaging (MSI) offers insights into molecular interactions within tissue morphology.
- Complex chemical environments in MSI pixels can cause matrix effects, skewing molecular distribution data.
- These matrix effects are a significant challenge in accurate molecular profiling of tissues.
Purpose of the Study:
- To present a novel method for eliminating matrix effects in mass spectrometry imaging.
- To demonstrate the utility of pneumatically assisted nano-DESI MSI (PA nano-DESI MSI) for artifact reduction.
- To enable more accurate molecular distribution analysis in complex biological samples.
Main Methods:
- Utilized pneumatically assisted nanospray desorption electrospray ionization (PA nano-DESI) for MSI.
- Doped the nano-DESI solvent with carefully selected internal standards.
- Employed a robust data normalization method to correct for matrix effects.
Main Results:
- Successfully eliminated matrix effects in ion images generated by PA nano-DESI MSI.
- Internal standards co-ionized with analytes, facilitating simultaneous ionization.
- Achieved accurate molecular distributions by normalizing data based on internal standards.
Conclusions:
- PA nano-DESI MSI with internal standards is an effective strategy to overcome matrix effects.
- This method enhances the reliability of molecular distribution data in MSI.
- The technique provides a robust solution for artifact-free molecular imaging in tissue analysis.

