应用红外和光学显微镜图像融合技术进行头颈部癌症组织鉴别
Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy.
发表日期：2023 Aug 02
作者：
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
来源：
Cellular & Molecular Immunology
摘要：
一种基于回归的融合算法被用于将高光谱傅立叶变换红外（FTIR）数据与口腔鳞状细胞癌转移至颈淋巴结组织的H&E图像进行融合。这提供了关于在区分这些组织类型时，1252 cm-1和1285 cm-1处的FTIR吸收比率的成功的见解。这种成功是由于这两个波数处的吸收主要受DNA和胶原的贡献所主导。通过将融合光谱与胶原、DNA和细胞角蛋白的FTIR光谱进行逐像素拟合，可以以高空间分辨率揭示这些分子对组织的贡献。
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.