Ostertag Edwin, Stefanakis Mona, Rebner Karsten, Kessler Rudolf W
Process Analysis and Technology (PA&T), Reutlingen Research Institute, Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany.
Steinbeis Technology Transfer Center Process Control and Data Analysis, Professor Emeritus Reutlingen University, Herderstr. 47, 72762, Reutlingen, Germany.
Anal Bioanal Chem. 2017 Nov;409(28):6613-6623. doi: 10.1007/s00216-017-0614-1. Epub 2017 Sep 16.
This paper presents an approach for label-free brain tumor tissue typing. For this application, our dual modality microspectroscopy system combines inelastic Raman scattering spectroscopy and Mie elastic light scattering spectroscopy. The system enables marker-free biomedical diagnostics and records both the chemical and morphologic changes of tissues on a cellular and subcellular level. The system setup is described and the suitability for measuring morphologic features is investigated. Graphical Abstract Bimodal approach for label-free brain tumor typing. Elastic and inelastic light scattering spectra are collected laterally resolved in one measurement setup. The spectra are investigated by multivariate data analysis for assigning the tissues to specific WHO grades according to their malignancy.
本文提出了一种用于无标记脑肿瘤组织分型的方法。对于此应用，我们的双模态显微光谱系统结合了非弹性拉曼散射光谱和米氏弹性光散射光谱。该系统能够实现无标记生物医学诊断，并在细胞和亚细胞水平上记录组织的化学和形态变化。描述了系统设置，并研究了其测量形态特征的适用性。图形摘要 用于无标记脑肿瘤分型的双峰方法。在一个测量设置中横向分辨地收集弹性和非弹性光散射光谱。通过多变量数据分析对光谱进行研究，以便根据组织的恶性程度将其归为特定的世界卫生组织分级。
