ArticleGigaScience2021
M2aia-Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data.
Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Automatic Coregistration of High-Resolution MALDI-MSI and Raman Imaging Applied to Cardiac Tissue of Fabry Disease Mouse Models.Analytical chemistry · 2026Article
- Mass spectrometry imaging tutorial: From cancer biomarker discovery to clinical applications.Analytica chimica acta · 2026Review
- From Sample to Mixed Reality: A Translational 3D MALDI Imaging Platform for Advanced 3D Spatial Omics Analysis of 3D Cell Culture Disease Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Bridging the gaps: advanced techniques to unlock lipid function in plant reproductive development.Plant reproduction · 2025Review
- Article
- Mass Spectrometry Imaging of Lipid and Metabolite Distributions in Cysts ofJournal of the American Society for Mass Spectrometry · 2025Article
- Exploring the Aβ Plaque Microenvironment in Alzheimer's Disease Model Mice by Multimodal Lipid-Protein-Histology Imaging on a Benchtop Mass Spectrometer.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Microbiome in cancer metastasis: biological insights and emerging spatial omics methods.Frontiers in cellular and infection microbiology · 2025Review
- MSIreg: an R package for unsupervised coregistration of mass spectrometry and H&E images.Bioinformatics (Oxford, England) · 2024Article
- Integrative Single-Plaque Analysis Reveals Signature Aβ and Lipid Profiles in the Alzheimer's Brain.Analytical chemistry · 2024Article
- pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning.Bioinformatics (Oxford, England) · 2024Article
- Applications of mass spectrometry imaging in botanical research.Advanced biotechnology · 2024Review
- Cardinal v.3: a versatile open-source software for mass spectrometry imaging analysis.Nature methods · 2023Article
- Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging.Nature communications · 2023Article
- An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- M2aia-Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data.GigaScience · 2021Article
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7 authors.
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Abstract
backgroundMass spectrometry imaging (MSI) is a label-free analysis method for resolving bio-molecules or pharmaceuticals in the spatial domain. It offers unique perspectives for the examination of entire organs or other tissue specimens. Owing to increasing capabilities of modern MSI devices, the use of 3D and multi-modal MSI becomes feasible in routine applications-resulting in hundreds of gigabytes of data. To fully leverage such MSI acquisitions, interactive tools for 3D image reconstruction, visualization, and analysis are required, which preferably should be open-source to allow scientists to develop custom extensions.
findingsWe introduce M2aia (MSI applications for interactive analysis in MITK), a software tool providing interactive and memory-efficient data access and signal processing of multiple large MSI datasets stored in imzML format. M2aia extends MITK, a popular open-source tool in medical image processing. Besides the steps of a typical signal processing workflow, M2aia offers fast visual interaction, image segmentation, deformable 3D image reconstruction, and multi-modal registration. A unique feature is that fused data with individual mass axes can be visualized in a shared coordinate system. We demonstrate features of M2aia by reanalyzing an N-glycan mouse kidney dataset and 3D reconstruction and multi-modal image registration of a lipid and peptide dataset of a mouse brain, which we make publicly available.
conclusionsTo our knowledge, M2aia is the first extensible open-source application that enables a fast, user-friendly, and interactive exploration of large datasets. M2aia is applicable to a wide range of MSI analysis tasks.
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