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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2023
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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. |
format | Online Article Text |
id | pubmed-10440831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
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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