ArticleBMC bioinformatics2021
Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images.
Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Lipid MRI in plant science: principles and potential areas of application.Journal of experimental botany · 2026Review
- Layer-by-layer decoding of contemporary and historic painting composition using MALDI mass spectrometry imaging and machine learning.Science advances · 2026Article
- msiFlow: automated workflows for reproducible and scalable multimodal mass spectrometry imaging and microscopy data analysis.Nature communications · 2025Article
- Multimodal Mass Spectrometry Imaging in Atlas Building: A Review.Seminars in nephrology · 2024Review
- Multimodal Image Fusion Workflow Incorporating MALDI Imaging Mass Spectrometry and Microscopy for the Study of Small Pharmaceutical Compounds.Analytical chemistry · 2024Article
- A multi-modal image fusion workflow incorporating MALDI imaging mass spectrometry and microscopy for the study of small pharmaceutical compounds.bioRxiv : the preprint server for biology · 2024Article
- Supervised topological data analysis for MALDI mass spectrometry imaging applications.BMC bioinformatics · 2023Article
- Correlative Chemical Imaging and Spatial Chemometrics Delineate Alzheimer Plaque Heterogeneity at High Spatial Resolution.JACS Au · 2023Article
- Spatial analysis of drug absorption, distribution, metabolism, and toxicology using mass spectrometry imaging.Biochemical pharmacology · 2022Review
- MALDI-MSI Towards Multimodal Imaging: Challenges and Perspectives.Frontiers in chemistry · 2022Review
- Probe-based mass spectrometry approaches for single-cell and single-organelle measurements.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundMass spectrometry imaging (MSI) is a family of acquisition techniques producing images of the distribution of molecules in a sample, without any prior tagging of the molecules. This makes it a very interesting technique for exploratory research. However, the images are difficult to analyze because the enclosed data has high dimensionality, and their content does not necessarily reflect the shape of the object of interest. Conversely, magnetic resonance imaging (MRI) scans reflect the anatomy of the tissue. MRI also provides complementary information to MSI, such as the content and distribution of water.
resultsWe propose a new workflow to merge the information from 2D MALDI-MSI and MRI images. Our workflow can be applied to large MSI datasets in a limited amount of time. Moreover, the workflow is fully automated and based on deterministic methods which ensures the reproducibility of the results. Our methods were evaluated and compared with state-of-the-art methods. Results show that the images are combined precisely and in a time-efficient manner.
conclusionOur workflow reveals molecules which co-localize with water in biological images. It can be applied on any MSI and MRI datasets which satisfy a few conditions: same regions of the shape enclosed in the images and similar intensity distributions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.