MSI-Explorer: Napari-Powered Tool for Mass Spectrometry Imaging Data Analysis
Mass spectrometry imaging (MSI) enables label-free spatial localization of biomolecules from single cells to whole tissues, making it a key technology in the growing fields of spatial omics. However, a lack of comprehensive open-source tools for MSI data analysis, visualization, and quantification has hindered its broader adoption. Napari, a widely used interactive Python-based image analysis platform, currently lacks native support for MSI data, limiting its applications in MSI research. To address this gap, we present MSI-Explorer, the first napari plugin that provides an interactive and user-friendly interface for MSI data processing, spectral analysis, molecular annotation, and quantification. By integrating napari's advanced visualization capabilities with MSI-specific functionalities, MSI-Explorer provides image curation, multimodal, and efficient analysis of MSI data sets. As the first dedicated MSI plugin for napari, MSI-Explorer bridges the gap between spatial metabolomics and the broader bioimaging research community, promoting open, accessible, and integrated MSI data analysis.
Authors
- Nay Min Min Thaw Saw (ORCID: https://orcid.org/0000-0002-8180-8129)
- Lennart Kowitz
- Prasad Phapale (ORCID: https://orcid.org/0000-0002-9487-597X)
- Peter Lampen (ORCID: https://orcid.org/0000-0003-3004-1463)
- Jianxu Chen (ORCID: https://orcid.org/0000-0002-8500-1357)
- Siva Swapna Kasarla
- Antonia Fecke (ORCID: https://orcid.org/0009-0001-3143-3867)
Institutions
- Aarhus University (DK)
- Leibniz Institute for Analytical Sciences - ISAS (DE)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1021/acs.analchem.5c01513
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Chan Zuckerberg Initiative