Department of Physics, University of Liverpool, L69 7ZE, UK.
Department of Physics, University of Jeddah, Saudi Arabia.
Analyst. 2023 Aug 21;148(17):4189-4194. doi: 10.1039/d3an00692a.
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 and 1285 cm 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.
已经使用基于回归的融合算法将口腔鳞状细胞癌转移的高光谱傅里叶变换红外（FTIR）数据与 H&E 图像融合在颈部淋巴组织中。这为 FTIR 在 1252cm 和 1285cm 处的吸收比在区分这些组织类型中的成功提供了深入了解。成功是由于这两个波数的吸收分别主要来自 DNA 和胶原蛋白的贡献。融合光谱与胶原蛋白、DNA 和细胞角蛋白的 FTIR 光谱的逐像素拟合揭示了这些分子在高空间分辨率下对组织的贡献。
