拉曼光谱
计算机科学
拉曼散射
广谱
集合(抽象数据类型)
数据科学
纳米技术
医学物理学
神经科学
医学
物理
材料科学
化学
心理学
光学
组合化学
程序设计语言
作者
Gilbert Georg Klamminger,Katrin Frauenknecht,Michel Mittelbronn,Felix Bruno Kleine Borgmann
出处
期刊:PubMed
日期:2022-05-31
卷期号:3: 19-19
被引量:9
标识
DOI:10.17879/freeneuropathology-2022-4210
摘要
In recent years, Raman spectroscopy has been more and more frequently applied to address research questions in neuroscience. As a non-destructive technique based on inelastic scattering of photons, it can be used for a wide spectrum of applications including neurooncological tumor diagnostics or analysis of misfolded protein aggregates involved in neurodegenerative diseases. Progress in the technical development of this method allows for an increasingly detailed analysis of biological samples and may therefore open new fields of applications. The goal of our review is to provide an introduction into Raman scattering, its practical usage and also commonly associated pitfalls. Furthermore, intraoperative assessment of tumor recurrence using Raman based histology images as well as the search for non-invasive ways of diagnosis in neurodegenerative diseases are discussed. Some of the applications mentioned here may serve as a basis and possibly set the course for a future use of the technique in clinical practice. Covering a broad range of content, this overview can serve not only as a quick and accessible reference tool but also provide more in-depth information on a specific subtopic of interest.
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