Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27706
Title: Colorimetric histology using plasmonically active microscope slides.
Austin Authors: Balaur, Eugeniu;O' Toole, Sandra;Spurling, Alex J;Mann, G Bruce;Yeo, Belinda ;Harvey, Kate;Sadatnajafi, Catherine;Hanssen, Eric;Orian, Jacqueline;Nugent, Keith A;Parker, Belinda S;Abbey, Brian
Affiliation: Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria, Australia
The Kinghorn Cancer Centre and Cancer Research Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
Sydney Medical School, University of Sydney, Camperdown, New South Wales, Australia
Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia
Olivia Newton-John Cancer Research Institute
Medical Oncology
Australian Research Council Centre of Excellence for Advanced Molecular Imaging, La Trobe University, Melbourne, Victoria, Australia
Department of Chemistry and Physics, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria, Australia
Ian Holmes Imaging Center and Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia
Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
Research School of Physics, The Australian National University, Acton, Australian Capital Territory, Australia
Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
Issue Date: Oct-2021
Date: 2021-10-06
Publication information: Nature 2021; 598(7879): 65-71
Abstract: The human eye can distinguish as many as 10,000 different colours but is far less sensitive to variations in intensity1, meaning that colour is highly desirable when interpreting images. However, most biological samples are essentially transparent, and nearly invisible when viewed using a standard optical microscope2. It is therefore highly desirable to be able to produce coloured images without needing to add any stains or dyes, which can alter the sample properties. Here we demonstrate that colorimetric histology images can be generated using full-sized plasmonically active microscope slides. These slides translate subtle changes in the dielectric constant into striking colour contrast when samples are placed upon them. We demonstrate the biomedical potential of this technique, which we term histoplasmonics, by distinguishing neoplastic cells from normal breast epithelium during the earliest stages of tumorigenesis in the mouse MMTV-PyMT mammary tumour model. We then apply this method to human diagnostic tissue and validate its utility in distinguishing normal epithelium, usual ductal hyperplasia, and early-stage breast cancer (ductal carcinoma in situ). The colorimetric output of the image pixels is compared to conventional histopathology. The results we report here support the hypothesis that histoplasmonics can be used as a novel alternative or adjunct to general staining. The widespread availability of this technique and its incorporation into standard laboratory workflows may prove transformative for applications extending well beyond tissue diagnostics. This work also highlights opportunities for improvements to digital pathology that have yet to be explored.
URI: https://ahro.austin.org.au/austinjspui/handle/1/27706
DOI: 10.1038/s41586-021-03835-2
ORCID: 0000-0003-4029-2055
0000-0002-3414-0728
0000-0002-4064-1844
0000-0002-4281-3478
0000-0002-8333-1926
0000-0001-6504-0503
Journal: Nature
PubMed URL: 34616057
Type: Journal Article
Appears in Collections:Journal articles

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