Advancing spatial-omics through Pyxis, vendor-neutral software for ion mobility mass spectrometry imaging data analysis

Mass spectrometry imaging (MSI) is a powerful analytical technique suited for simultaneously measuring and assigning functional roles of multiple analytes directly from intact tissue sections. MSI acquisitions often lead to highly complex datasets with numerous isobaric species. Ion mobility (IM) spectrometry crucially helps to unravel these datasets by providing an orthogonal separation thus supplementing the lack of chromatographic separation in MSI. However, the rich, multidimensional data produced by IM-MSI investigations, combined with the lack of comprehensive software solutions that support the entire data analysis workflow, poses a major challenge preventing IM-MSI full exploitation. Here, we discuss the benefits and challenges of IM-MSI data analysis in metabolomic applications. Finally, Pyxis, a novel, vendor-neutral IT solution for IM-MSI data analysis, is introduced and its capabilities demonstrated on mouse kidney tissue and THP-1 monocytes data.

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Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2025-12-20
DOI
https://doi.org/10.1007/s00216-025-06281-5
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
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article

Advancing spatial-omics through Pyxis, vendor-neutral software for ion mobility mass spectrometry imaging data analysis

Jens Soltwisch, Sara Tortorella, Sebastian Bessler, Giulia Sorbi et al.
Analytical and Bioanalytical Chemistry
Mass Spectrometry Techniques and Applications
article

Advancing spatial-omics through Pyxis, vendor-neutral software for ion mobility mass spectrometry imaging data analysis

Jens Soltwisch, Sara Tortorella, Sebastian Bessler, Giulia Sorbi, Gabriele Cruciani, Giuseppe Arturi
article en

Abstract

Mass spectrometry imaging (MSI) is a powerful analytical technique suited for simultaneously measuring and assigning functional roles of multiple analytes directly from intact tissue sections. MSI acquisitions often lead to highly complex datasets with numerous isobaric species. Ion mobility (IM) spectrometry crucially helps to unravel these datasets by providing an orthogonal separation thus supplementing the lack of chromatographic separation in MSI. However, the rich, multidimensional data produced by IM-MSI investigations, combined with the lack of comprehensive software solutions that support the entire data analysis workflow, poses a major challenge preventing IM-MSI full exploitation. Here, we discuss the benefits and challenges of IM-MSI data analysis in metabolomic applications. Finally, Pyxis, a novel, vendor-neutral IT solution for IM-MSI data analysis, is introduced and its capabilities demonstrated on mouse kidney tissue and THP-1 monocytes data.

Analytical and Bioanalytical Chemistry
University of Münster (DE), Robert Koch Institute (DE), University of Perugia (IT), Centre for Research on Ecology and Forestry Applications (ES), Horizon Discovery Group (United States) (US), Median SCP (Spain) (ES)
Openalex Percentile: Top 63%
Mass Spectrometry Techniques and Applications
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