IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v598y2021i7879d10.1038_s41586-021-03835-2.html
   My bibliography  Save this article

Colorimetric histology using plasmonically active microscope slides

Author

Listed:
  • Eugeniu Balaur

    (La Trobe University
    La Trobe University)

  • Sandra O’ Toole

    (Royal Prince Alfred Hospital
    Garvan Institute of Medical Research
    University of Sydney)

  • Alex J. Spurling

    (Peter MacCallum Cancer Centre)

  • G. Bruce Mann

    (The Royal Melbourne Hospital, The University of Melbourne)

  • Belinda Yeo

    (Olivia Newton‐John Cancer Research Institute
    Austin Health)

  • Kate Harvey

    (Garvan Institute of Medical Research)

  • Catherine Sadatnajafi

    (La Trobe University
    La Trobe University)

  • Eric Hanssen

    (Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne)

  • Jacqueline Orian

    (La Trobe University)

  • Keith A. Nugent

    (La Trobe University
    The Australian National University)

  • Belinda S. Parker

    (Peter MacCallum Cancer Centre
    La Trobe University
    The University of Melbourne)

  • Brian Abbey

    (La Trobe University
    La Trobe University)

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.

Suggested Citation

  • Eugeniu Balaur & Sandra O’ Toole & Alex J. Spurling & G. Bruce Mann & Belinda Yeo & Kate Harvey & Catherine Sadatnajafi & Eric Hanssen & Jacqueline Orian & Keith A. Nugent & Belinda S. Parker & Brian , 2021. "Colorimetric histology using plasmonically active microscope slides," Nature, Nature, vol. 598(7879), pages 65-71, October.
  • Handle: RePEc:nat:nature:v:598:y:2021:i:7879:d:10.1038_s41586-021-03835-2
    DOI: 10.1038/s41586-021-03835-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-021-03835-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-021-03835-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Youyou Lu & Xuan Zhang & Liyan Zhao & Hong Liu & Mi Yan & Xiaochen Zhang & Kenji Mochizuki & Shikuan Yang, 2023. "Metal-organic framework template-guided electrochemical lithography on substrates for SERS sensing applications," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Yang Liu & Mingchuan Huang & Qiankun Chen & Douguo Zhang, 2022. "Single planar photonic chip with tailored angular transmission for multiple-order analog spatial differentiator," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:598:y:2021:i:7879:d:10.1038_s41586-021-03835-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.