ArticleScientific reports2017
Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 30 citations in OpenAlex.
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- Novel feature-based method for multi-modal biomedical image registration compared to intensity-based technique.Scientific reports · 2025Article
- Spatial landmark detection and tissue registration with deep learning.Nature methods · 2024Article
- Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy.Scientific reports · 2022Article
- 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
- MALDI-MSI Towards Multimodal Imaging: Challenges and Perspectives.Frontiers in chemistry · 2022Review
- Acute Increases in Intracellular Zinc Lead to an Increased Lysosomal and Mitochondrial Autophagy and Subsequent Cell Demise in Malignant Melanoma.International journal of molecular sciences · 2021Article
- Determination of Renal Distribution of Zinc, Copper, Iron, and Platinum in Mouse Kidney Using LA-ICP-MS.BioMed research international · 2021Article
- Spontaneously occurring melanoma in animals and their relevance to human melanoma.The Journal of pathology · 2020Review
- Melanoma-Bearing Libechov Minipig (MeLiM): The Unique Swine Model of Hereditary Metastatic Melanoma.Genes · 2019Review
- An Innovative Platform Merging Elemental Analysis and Ftir Imaging for Breast Tissue Analysis.Scientific reports · 2019Article
- In Vivo Anticancer Activity of a Rhenium(I) Tricarbonyl Complex.ACS medicinal chemistry letters · 2019Article
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe a new procedure for the parallel mapping of selected metals in histologically characterized tissue samples. Mapping is achieved via image registration of digital data obtained from two neighbouring cryosections by scanning the first as a histological sample and subjecting the second to laser ablation inductively coupled plasma mass spectrometry. This computer supported procedure enables determination of the distribution and content of metals of interest directly in the chosen histological zones and represents a substantial improvement over the standard approach, which determines these values in tissue homogenates or whole tissue sections. The potential of the described procedure was demonstrated in a pilot study that analysed Zn and Cu levels in successive development stages of pig melanoma tissue using MeLiM (Melanoma-bearing-Libechov-Minipig) model. We anticipate that the procedure could be useful for a complex understanding of the role that the spatial distribution of metals plays within tissues affected by pathological states including cancer.
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