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Impact of Histological Processing on Endogenous Elemental Contents and Distributions in Breast Cancer Tissue Sections.

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Title: Impact of Histological Processing on Endogenous Elemental Contents and Distributions in Breast Cancer Tissue Sections.
Authors: Lovejoy AV; Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, U.K.; Clinical Trials and Statistics Unit, Institute of Cancer Research, Sutton SM2 5NG, U.K., Morrell AP; London Metallomics Facility, King's College London, London SE1 9NH, U.K., Mesa D; Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, U.K., Griffiths A; Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, U.K., Golda PR; London Metallomics Facility, King's College London, London SE1 9NH, U.K., Dawson KL; Imperial College Healthcare Tissue Bank, Charing Cross Hospital Campus, London W6 8RP, U.K., Wren E; Imperial College Healthcare Tissue Bank, Charing Cross Hospital Campus, London W6 8RP, U.K., Kreissig K; Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, U.K., Coombes C; Department of Surgery and Cancer, Hammersmith Hospital, Imperial College London, London W12 0NN, U.K., Rehkämper M; Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, U.K., Moore RET; Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, U.K.
Source: Chemical & biomedical imaging [Chem Biomed Imaging] 2026 Feb 04; Vol. 4 (7), pp. 1390-1404. Date of Electronic Publication: 2026 Feb 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 9918574388106676 Publication Model: eCollection Cited Medium: Internet ISSN: 2832-3637 (Electronic) Linking ISSN: 28323637 NLM ISO Abbreviation: Chem Biomed Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Impact of Histological Processing on Endogenous Elemental Contents and Distributions in Breast Cancer Tissue Sections.
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        Value: 10.1021/cbmi.5c00217
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              Text: 2026 Feb 04
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