{
  "abstract": "Mass spectrometry imaging (MSI) produces high-dimensional molecular data, but practical interpretation remains limited by visualizations that incompletely preserve global structure. We present MSI-VISUAL, an open-source framework for interactive MSI analysis that integrates truthful dimensionality-reduction visualizations with region-of-interest selection, statistical comparison, and direct m/z mapping. MSI-VISUAL introduces four visualization strategies: SALO and SPEAR, optimization-based methods designed to improve global structure preservation across distance metrics; and TOP3 and PR3D, lightweight approaches for memory-efficient, rapid visualization of large datasets. Across benchmarks and lipidomics case studies, including mouse brain and kidney pathology examples, the proposed methods outperform commonly used alternatives in our benchmarks, improve detection of subtle tissue differences, and reveal fine molecular-anatomical patterns that support new biological insights. These results establish MSI-VISUAL as a scalable framework for discovery-oriented and diagnostic MSI workflows. Teaser Truthful MSI maps reveal hidden tissue patterns, making complex molecular images easier to explore and understand.",
  "abstract_shown": true,
  "affiliations": [
    "Pahnke Lab, www.pahnkelab.eu",
    "Department of Neuromedicine and Neuroscience, The Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Rīga, LV-1004, Latvia",
    "Institute of Nutritional Medicine, University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, Lübeck, D-23538, Germany",
    "Section of Neuropathology Research, Department of Pathology, Division of Laboratory Medicine, Oslo University Hospital, Sognsvannsveien 20, Oslo, NO-0372, Norway",
    "Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine, Medical Faculty, University of Oslo, Sognsvannsveien 20, Oslo, NO-0372, Norway"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jacob Gildenblat",
      "orcid": "0000-0002-1291-2520"
    },
    {
      "affs": [
        1,
        2,
        0,
        3,
        4
      ],
      "name": "Jens Pahnke",
      "orcid": "0000-0001-7355-4213"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dbzqm7gawfc01.bib",
  "cited_by": 5,
  "doi": "10.1126/sciadv.aed3650",
  "fulltext_url": null,
  "id": "dbzqm7gawfc01",
  "issns": [
    "2375-2548"
  ],
  "landing_url": "https://doi.org/10.1126/sciadv.aed3650",
  "language": "en",
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1607|Mass Spectrometry Techniques and Applications"
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  "openalex": "W7204261474",
  "pdf_url": "https://www.science.org/doi/pdf/10.1126/sciadv.aed3650?download=true",
  "pmcid": "PMC13510675",
  "pmid": "42647616",
  "published": "2026-08-26",
  "publisher": "American Association for the Advancement of Science",
  "ris": "https://research.draconitic.com/paper/dbzqm7gawfc01.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:26:44Z",
      "native_id": "W7204261474",
      "source": "openalex",
      "url": "https://doi.org/10.1126/sciadv.aed3650"
    }
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  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:1607|Mass Spectrometry Techniques and Applications",
      "subfield": "physical"
    }
  ],
  "title": "Truthful visualizations for mass spectrometry imaging enable high-spatial-resolution interactive m/z mapping and exploration",
  "title_text": "Truthful visualizations for mass spectrometry imaging enable high-spatial-resolution interactive m/z mapping and exploration",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T13:20:39Z",
  "url": "https://research.draconitic.com/paper/dbzqm7gawfc01",
  "venue": "Science Advances",
  "versions": []
}