spatialstein: An Open-Source Workflow for Annotation, Deconvolution, and Spatially Aware Segmentation of Mass Spectrometry Imaging Data

Document Server@UHasselt (UHasselt) 2026 Open access

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Authors: Michał Aleksander Ciach, Dan Guo, Kylie Ariel Bemis, Dirk Valkenborg, Olga Vitek A, Anna Gambin
DOI: 10.5281/zenodo.18613413
Cited by: 0

Abstract

Results of using the spatialstein pipeline on two publicly available data sets: mouse bladder (PRIDE database ID: PXD001283) and mouse cerebellum (MetaboLights database ID: MTBLS487). Details on how to download the raw data sets can be found on the project's GitHub website linked to this data. The files contain the lists of annotated lipid ions, deconvolved ion images of these ions, and segmentation maps.

Fields of Study & Subjects

Mass Spectrometry Techniques and Applications Metabolomics and Mass Spectrometry Studies Medical Image Segmentation Techniques

Publication details

Journal / source
Document Server@UHasselt (UHasselt)
Publication date
11 February 2026
Language
EN