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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.

SUBMITTER: Al Jedani S

PROVIDER: S-EPMC10440831 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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

Al Jedani Safaa S Smith Caroline I CI Ingham James J Whitley Conor A CA Ellis Barnaby G BG Triantafyllou Asterios A Gunning Philip J PJ Gardner Peter P Risk Janet M JM Shaw Richard J RJ Weightman Peter P Barrett Steve D SD

The Analyst 20230821 17

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<sup>-1</sup> and 1285 cm<sup>-1</sup> in discriminating between these tissue types. The success is due to absorbances at these two wavenumbers being dominated by contributions from DNA and collagen, respective ...[more]

PMID: 37529901

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