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

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) a...

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Autores principales: Al Jedani, Safaa, Smith, Caroline I., Ingham, James, Whitley, Conor A., Ellis, Barnaby G., Triantafyllou, Asterios, Gunning, Philip J., Gardner, Peter, Risk, Janet M., Shaw, Richard J., Weightman, Peter, Barrett, Steve D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440831/
https://www.ncbi.nlm.nih.gov/pubmed/37529901
http://dx.doi.org/10.1039/d3an00692a
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author Al Jedani, Safaa
Smith, Caroline I.
Ingham, James
Whitley, Conor A.
Ellis, Barnaby G.
Triantafyllou, Asterios
Gunning, Philip J.
Gardner, Peter
Risk, Janet M.
Shaw, Richard J.
Weightman, Peter
Barrett, Steve D.
author_facet Al Jedani, Safaa
Smith, Caroline I.
Ingham, James
Whitley, Conor A.
Ellis, Barnaby G.
Triantafyllou, Asterios
Gunning, Philip J.
Gardner, Peter
Risk, Janet M.
Shaw, Richard J.
Weightman, Peter
Barrett, Steve D.
author_sort Al Jedani, Safaa
collection PubMed
description 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.
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spelling pubmed-104408312023-08-22 Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy Al Jedani, Safaa Smith, Caroline I. Ingham, James Whitley, Conor A. Ellis, Barnaby G. Triantafyllou, Asterios Gunning, Philip J. Gardner, Peter Risk, Janet M. Shaw, Richard J. Weightman, Peter Barrett, Steve D. Analyst Chemistry 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. The Royal Society of Chemistry 2023-07-27 /pmc/articles/PMC10440831/ /pubmed/37529901 http://dx.doi.org/10.1039/d3an00692a Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Al Jedani, Safaa
Smith, Caroline I.
Ingham, James
Whitley, Conor A.
Ellis, Barnaby G.
Triantafyllou, Asterios
Gunning, Philip J.
Gardner, Peter
Risk, Janet M.
Shaw, Richard J.
Weightman, Peter
Barrett, Steve D.
Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy
title Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy
title_full Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy
title_fullStr Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy
title_full_unstemmed Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy
title_short Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy
title_sort tissue discrimination in head and neck cancer using image fusion of ir and optical microscopy
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440831/
https://www.ncbi.nlm.nih.gov/pubmed/37529901
http://dx.doi.org/10.1039/d3an00692a
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