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MSiReader v1.0: Evolving Open-Source Mass Spectrometry Imaging Software for Targeted and Untargeted Analyses
Mark T Bokhart1, Milad Nazari1, Kenneth P Garrard1,2
1Department of Chemistry, W. M. Keck FTMS Laboratory for Human Health Research, Raleigh, NC, USA.
Journal of the American Society for Mass Spectrometry
|September 22, 2017
Summary
MSiReader v1.0 enhances mass spectrometry imaging (MSI) analysis with new quantification and visualization tools. This free, open-source software improves data evaluation speed and depth for the MSI community.
Area of Science:
- Mass Spectrometry Imaging (MSI)
- Computational Chemistry
- Bioinformatics
Background:
- Mass spectrometry imaging (MSI) is a powerful technique for molecular analysis.
- Existing software often has limitations in data analysis and visualization.
- There is a need for efficient, user-friendly MSI analysis tools.
Purpose of the Study:
- To present a major update to the MSiReader software (v1.0).
- To introduce new features that enhance MSI data analysis capabilities.
- To improve the performance and utility of MSiReader for the scientific community.
Main Methods:
- Development of MSiReader v1.0, a free, open-source, vendor-neutral software.
- Implementation of MSiQuantification tool for absolute concentration calculations.
- Addition of image overlay, polarity filter, and mass measurement accuracy (MMA) heatmap features.
Main Results:
- MSiReader v1.0 offers expanded analytical capabilities beyond basic visualization.
- New tools enable absolute quantification and integration of multimodal imaging data.
- Performance improvements significantly reduce data analysis time.
- Facilitated analysis of polarity switching experiments and quality assurance via MMA heatmaps.
Conclusions:
- MSiReader v1.0 provides advanced tools for in-depth MSI data evaluation.
- The software enhances efficiency, reducing analysis time for researchers.
- MSiReader v1.0 is a valuable, free resource for the mass spectrometry imaging community.