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

Safaa Al Jedani; Caroline I. Smith; James Ingham; Conor A. Whitley; Barnaby G. Ellis; Asterios Triantafyllou; Philip J. Gunning; Peter Gardner; Janet M. Risk; Richard J. Shaw; Peter Weightman; Steve D. Barrett

doi:10.1039/D3AN00692A

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

Safaa Al Jedani,^ab Caroline I. Smith,

^a James Ingham,

^a Conor A. Whitley,^a Barnaby G. Ellis,^a Asterios Triantafyllou,

^c Philip J. Gunning,

^d Peter Gardner,

^e Janet M. Risk,

^d Richard J. Shaw,

^df Peter Weightman

*^a and Steve D. Barrett

^a

Author affiliations

* Corresponding authors

^a Department of Physics, University of Liverpool, UK
E-mail: peterw@liverpool.ac.uk

^b Department of Physics, University of Jeddah, Saudi Arabia

^c Department of Cellular Pathology, Liverpool Clinical Laboratories, University of Liverpool, Liverpool, UK

^d Liverpool Head and Neck Centre, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, UK

^e Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester, UK

^f Head and Neck Surgery, Liverpool University Foundation NHS Trust, Aintree Hospital, Liverpool, UK

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.

This article is part of the themed collection: SPEC 2022: International Conference on Clinical Spectroscopy

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

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

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