Exploring high-dimensional LA-ICP-TOFMS data with uniform manifold approximation and projection (UMAP)
Uniform manifold approximation and projection (UMAP) enables dimensionality reduction, comprehensive data visualisation, and segmentation of elemental mass spectrometry imaging data.
Authors
- Hennes Rave (ORCID: https://orcid.org/0000-0001-8662-3767)
- Lars Linsen (ORCID: https://orcid.org/0000-0002-6168-8748)
- Danaë Nyckees
- David Clases (ORCID: https://orcid.org/0000-0003-3880-9385)
- Matthias Elinkmann (ORCID: https://orcid.org/0000-0002-6047-377X)
- Raquel González de Vega (ORCID: https://orcid.org/0000-0002-9806-9633)
- Katharina Kronenberg (ORCID: https://orcid.org/0009-0002-0814-0043)
- Nassim Ghaffari‐Tabrizi‐Wizsy (ORCID: https://orcid.org/0000-0001-6696-8717)
- Dalial Freitak (ORCID: https://orcid.org/0000-0001-8574-0531)
Institutions
- University of Graz (AT)
- Medical University of Graz (AT)
- University of Münster (DE)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ja00215j
- Citations
- 3
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 4.16