2023
DOI: 10.1039/d3an00692a
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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....

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Cited by 2 publications
(1 citation statement)
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“…While the acquisition of point spectra allows one to determine the classification of normal versus variant (e.g., disease) or predictive analysis for screening and/or diagnosis, the use of spectral maps allows one to construct an image of the cell and/or tissue architecture [24,25] or even a profile map of the bio-distribution of a particular entity, such as a biomolecule [26]; this lends itself to an exciting new horizon that could provide an alternative to traditional dye-based histopathology. Traditionally, one could have looked at what seemed a normal tissue architecture based on different coloured dyes binding to various cellular entities with no indication that there may be insidious disease about to emerge; the reason being that in this format, no underlying biochemical information is discernible [27]. The paradigm shift in biospectroscopy is that the spectrum-derived image map, in addition to showing tissue architecture, also contains and exhibits underlying biochemical information [28].…”
Section: Sensor Spectral Rangementioning
confidence: 99%
“…While the acquisition of point spectra allows one to determine the classification of normal versus variant (e.g., disease) or predictive analysis for screening and/or diagnosis, the use of spectral maps allows one to construct an image of the cell and/or tissue architecture [24,25] or even a profile map of the bio-distribution of a particular entity, such as a biomolecule [26]; this lends itself to an exciting new horizon that could provide an alternative to traditional dye-based histopathology. Traditionally, one could have looked at what seemed a normal tissue architecture based on different coloured dyes binding to various cellular entities with no indication that there may be insidious disease about to emerge; the reason being that in this format, no underlying biochemical information is discernible [27]. The paradigm shift in biospectroscopy is that the spectrum-derived image map, in addition to showing tissue architecture, also contains and exhibits underlying biochemical information [28].…”
Section: Sensor Spectral Rangementioning
confidence: 99%