Insight into metastatic oral cancer tissue from novel analyses using FTIR spectroscopy and aperture IR-SNOM-Reference-Cited by-同舟云学术

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Insight into metastatic oral cancer tissue from novel analyses using FTIR spectroscopy and aperture IR-SNOM

Published:2021 Issue:15 Volume:146 Page:4895-4904
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Ellis Barnaby G.¹²³,Whitley Conor A.¹²³,Al Jedani Safaa¹²³,Smith Caroline I.¹²³^ORCID,Gunning Philip J.⁴⁵⁶²³^ORCID,Harrison Paul¹²³,Unsworth Paul¹²³,Gardner Peter⁷⁸⁹¹⁰³^ORCID,Shaw Richard J.⁴⁵⁶²³,Barrett Steve D.¹²³^ORCID,Triantafyllou Asterios¹¹¹²²¹³³^ORCID,Risk Janet M.⁴⁵⁶²³^ORCID,Weightman Peter¹²³^ORCID

Affiliation:

1. Department of Physics

2. University of Liverpool

3. UK

4. Department of Molecular and Clinical Cancer Medicine

5. Institute of Systems

6. Molecular and Integrative Biology

7. Manchester Institute of Biotechnology

8. 131 Princess Street

9. University of Manchester

10. Manchester

11. Department of Pathology

12. Liverpool Clinical Laboratories

13. Liverpool

Abstract

A SNOM image (a) provides chemical insight into a metastatic tumour identified by H&E staining (b).

Funder

Cancer Research UK

Engineering and Physical Sciences Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AN/D1AN00922B

Reference40 articles.

1. Clinical applications of infrared and Raman spectroscopy: state of play and future challenges

2. Discrimination between benign, primary and secondary malignancies in lymph nodes from the head and neck utilising Raman spectroscopy and multivariate analysis

3. Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

4. Raman spectroscopy for cancer detection and cancer surgery guidance: translation to the clinics

5. Current trends in machine-learning methods applied to spectroscopic cancer diagnosis

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