Fourier-transform infrared spectroscopy (FT-IR) in combination with machine learning and chemometrics is an intensively developed, powerful tool for investigation of tissue biochemical composition with simultaneous microscopic visualization. This nondestructive, information rich and label-free technique has been successfully applied in cancer diagnostics. During the development of a disease or inflammatory processes, not only the chemical composition of tissues changes, but also their spatial organization. FT-IR imaging with linear polarization can provide new and useful information about chemically-specific orientation of macromolecules. Here, we present results of spatial macromolecular orientation in human, pancreatic tissue using four-polarization FT-IR method. Despite the much more complex chemical structure of tissue compared to artificial materials such as fibrillar polymers, the obtained orientations of biomolecules in tissue agreed with theoretical prediction.

傅里叶变换红外光谱 (FT-IR) 与机器学习和化学计量学相结合，是一种经过深入开发的强大工具，可用于同时显微可视化研究组织生化成分。这种无损、信息丰富且无需标记的技术已成功应用于癌症诊断。在疾病或炎症过程的发展过程中，不仅组织的化学成分会发生变化，而且它们的空间组织也会发生变化。具有线性偏振的 FT-IR 成像可以提供有关大分子化学特异性取向的新的有用信息。在这里，我们使用四偏振 FT-IR 方法展示了人类胰腺组织中空间大分子取向的结果。