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Perspective: Mass Spectrometry Imaging - The Next 5 Years
Malcolm R Clench1, Laura M Cole2
1Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK. m.r.clench@shu.ac.uk.
Methods in Molecular Biology (Clifton, N.J.)
|July 6, 2023
Summary
Mass spectrometry imaging (MSI) faces challenges like ionization suppression and data analysis. Current research shows these issues are being resolved, paving the way for broader MSI adoption and new applications.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Medical Imaging
Background:
- Mass spectrometry imaging (MSI) is a powerful technique for visualizing molecular distributions in biological samples.
- Widespread adoption of MSI is hindered by several technical and analytical challenges.
- Addressing these limitations is crucial for unlocking the full potential of MSI in various scientific fields.
Purpose of the Study:
- To review current research addressing key limitations in mass spectrometry imaging.
- To discuss potential future applications enabled by advancements in MSI technology.
- To provide insights into the trajectory of MSI development over the next five years.
Main Methods:
- Literature review of recent advancements in mass spectrometry imaging.
- Analysis of research trends focusing on overcoming specific MSI challenges.
- Exploration of emerging application areas for MSI.
Main Results:
- Progress is being made in overcoming ionization suppression, a common cause of compound non-observation.
- Improvements in sample throughput are being developed to increase efficiency.
- Techniques for imaging low-abundant species and extracting insights from large datasets are advancing.
- Potential new application areas for MSI are being identified.
Conclusions:
- Current research indicates that the primary challenges hindering mass spectrometry imaging adoption are being actively resolved.
- These advancements are expected to lead to more widespread use of MSI in diverse scientific disciplines.
- The future of MSI involves enhanced capabilities and expanded applications, driven by ongoing innovation.
Keywords:
3D tissue modelsArtificial intelligenceMALDI-2MALDI-IHCMass resolutionPlasma post-ionizationSub-ppmn-DESIMore Related Videos
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