Evidence map›Paper›PMID 39870624›Full record

ArticleNature communications2025

msiFlow: automated workflows for reproducible and scalable multimodal mass spectrometry imaging and microscopy data analysis.

Philippa Spangenberg, Sebastian Bessler, Lars Widera, Jenny Bottek, Mathis Richter, Stephanie Thiebes, Devon Siemes, Sascha D Krauß, Lukasz G Migas, Siva Swapna Kasarla and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. MALDI spatial proteomics: a mini review of approaches and techniques.Analytical methods : advancing methods and applications · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Philippa SpangenbergInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0002-5593-5546
Sebastian BesslerInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-0377-1164
Lars WideraInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.
Jenny BottekInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0002-4418-6092
Mathis RichterInstitute of Experimental Pathology (ExPat), Center of Molecular Biology of Inflammation (ZMBE), University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-3110-6137
Stephanie ThiebesInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0001-5320-3889
Devon SiemesInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.
Sascha D KraußInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0001-6271-9940
Lukasz G MigasMass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA.
Siva Swapna KasarlaLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
Prasad PhapaleLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.ORCID http://orcid.org/0000-0002-9487-597X
Jens KleesiekInstitute for AI in Medicine (IKIM), University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0001-8686-0682
Dagmar FührerDepartment of Endocrinology, Diabetes and Metabolism, University Hospital Essen, Essen, Germany.
Lars C MoellerDepartment of Endocrinology, Diabetes and Metabolism, University Hospital Essen, Essen, Germany.
Heike HeuerDepartment of Endocrinology, Diabetes and Metabolism, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0001-7094-6959
Raf Van de PlasMass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-2232-7130
Matthias GunzerInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0002-5534-6055
Oliver SoehnleinInstitute of Experimental Pathology (ExPat), Center of Molecular Biology of Inflammation (ZMBE), University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-7854-0694
Jens SoltwischInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-0258-1561
Olga ShevchukInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.ORCID http://orcid.org/0000-0003-1150-7344
Klaus DreisewerdInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-7619-808X
Daniel R EngelInstitute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany. engel@immunodynamics.de.ORCID http://orcid.org/0000-0001-7301-353X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DR416/13-1Deutsche Forschungsgemeinschaft (German Research Foundation) EN984/15-1,16-1,18-1Deutsche Forschungsgemeinschaft (German Research Foundation) FOR5427Deutsche Forschungsgemeinschaft (German Research Foundation) INST20876/486-1Deutsche Forschungsgemeinschaft (German Research Foundation) SFB1009Deutsche Forschungsgemeinschaft (German Research Foundation) SFB1123Deutsche Forschungsgemeinschaft (German Research Foundation) SO976/4-1Deutsche Forschungsgemeinschaft (German Research Foundation) TRR332
6 · The paper itself

Abstract

Multimodal imaging by matrix-assisted laser desorption ionisation mass spectrometry imaging (MALDI MSI) and microscopy holds potential for understanding pathological mechanisms by mapping molecular signatures from the tissue microenvironment to specific cell populations. However, existing software solutions for MALDI MSI data analysis are incomplete, require programming skills and contain laborious manual steps, hindering broadly applicable, reproducible, and high-throughput analysis to generate impactful biological discoveries. Here, we present msiFlow, an accessible open-source, platform-independent and vendor-neutral software for end-to-end, high-throughput, transparent and reproducible analysis of multimodal imaging data. msiFlow integrates all necessary steps from raw data import to analytical visualisation along with state-of-the-art and self-developed algorithms into automated workflows. Using msiFlow, we unravel the molecular heterogeneity of leukocytes in infected tissues by spatial regulation of ether-linked phospholipids containing arachidonic acid. We anticipate that msiFlow will facilitate the broad applicability of MSI in multimodal imaging to uncover context-dependent cellular regulations in disease states.

Indexed as

MicroscopyMultimodal ImagingSoftwareSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAlgorithmsAnimalsArachidonic AcidData AnalysisHumansImage Processing, Computer-AssistedLeukocytesMiceReproducibility of ResultsWorkflowArachidonic Acid

Identifiers

PMID39870624
PMCPMC11772593

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.