Issue 17, 2023

Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy

Abstract

A regression-based fusion algorithm has been used to merge hyperspectral Fourier transform infrared (FTIR) data with an H&E image of oral squamous cell carcinoma metastases in cervical lymphoid nodal tissue. This provides insight into the success of the ratio of FTIR absorbances at 1252 cm−1 and 1285 cm−1 in discriminating between these tissue types. The success is due to absorbances at these two wavenumbers being dominated by contributions from DNA and collagen, respectively. A pixel-by-pixel fit of the fused spectra to the FTIR spectra of collagen, DNA and cytokeratin reveals the contributions of these molecules to the tissue at high spatial resolution.

Graphical abstract: Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy

Supplementary files

Article information

Article type
Paper
Submitted
02 5 2023
Accepted
27 7 2023
First published
27 7 2023
This article is Open Access
Creative Commons BY license

Analyst, 2023,148, 4189-4194

Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy

S. Al Jedani, C. I. Smith, J. Ingham, C. A. Whitley, B. G. Ellis, A. Triantafyllou, P. J. Gunning, P. Gardner, J. M. Risk, R. J. Shaw, P. Weightman and S. D. Barrett, Analyst, 2023, 148, 4189 DOI: 10.1039/D3AN00692A

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