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Updated: Feb 6, 2026

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
Published on: October 13, 2020
Balancing sufficiency and impact in reporting standards for mass spectrometry imaging experiments
Ove J R Gustafsson1,2, Lyron J Winderbaum2, Mark R Condina2
1ARC Centre of Excellence in Convergent Bio-Nano Science & Technology (CBNS), University of South Australia, Mawson Lakes, South Australia 5095, Australia.
Reproducibility in science is crucial. New guidelines, Minimum Information About a Mass Spectrometry Imaging Experiment (MIAMSIE) and MSIcheck, aim to improve mass spectrometry imaging reporting and data sharing for better research reproducibility.
Area of Science:
- Scientific reporting standards
- Mass spectrometry imaging (MSI)
- Research reproducibility
Background:
- Accurate reporting of experiments and data is vital for scientific reproducibility.
- Existing mass spectrometry imaging (MSI) reporting standards can be exhaustive, limiting their adoption.
- There is a need for accessible and extensible reporting guidelines in MSI research.
Purpose of the Study:
- To propose new reporting guidelines for mass spectrometry imaging (MSI) experiments.
- To introduce Minimum Information About a Mass Spectrometry Imaging Experiment (MIAMSIE) for improved author-driven reporting.
- To present MSIcheck, an abbreviated standard for diagnostic review of MSI reporting.
Main Methods:
- Development of MIAMSIE as an extensible reporting supplement.
- Creation of MSIcheck as a focused diagnostic tool for MSI reporting.
- Implementation and testing of both MIAMSIE and MSIcheck on selected literature and datasets.
Main Results:
- MIAMSIE was reviewed by authors on four articles and a dataset.
- MSIcheck review of recent MSI literature revealed issues in data provision and reporting of analysis steps and calibration.
- The proposed guidelines aim to enhance reporting quality and address current limitations.
Conclusions:
- MIAMSIE and MSIcheck offer practical solutions to improve MSI reporting quality and reproducibility.
- These guidelines are designed for extensibility and potential broader application beyond MSI.
- The approach can serve as a general strategy for enhancing scientific reporting across disciplines.
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