Suppr超能文献

从拉曼光谱在神经科学中的研究到诊断应用:过去与展望

From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.

作者信息

Klamminger Gilbert Georg, Frauenknecht Katrin B M, Mittelbronn Michel, Kleine Borgmann Felix B

机构信息

Saarland University Medical Center and Faculty of Medicine, Homburg, Germany.

National Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg.

出版信息

Free Neuropathol. 2022 Aug 5;3:19. doi: 10.17879/freeneuropathology-2022-4210. eCollection 2022 Jan.

Abstract

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.

摘要

近年来,拉曼光谱越来越频繁地应用于解决神经科学中的研究问题。作为一种基于光子非弹性散射的无损技术,它可用于广泛的应用,包括神经肿瘤学中的肿瘤诊断或对神经退行性疾病中涉及的错误折叠蛋白质聚集体的分析。该方法技术发展的进步使得能够对生物样品进行越来越详细的分析,因此可能开辟新的应用领域。我们综述的目的是介绍拉曼散射、其实际应用以及常见的相关陷阱。此外,还讨论了使用基于拉曼的组织学图像进行肿瘤复发的术中评估以及寻找神经退行性疾病的非侵入性诊断方法。这里提到的一些应用可能作为该技术未来在临床实践中应用的基础,并可能为其设定方向。本综述涵盖广泛内容,不仅可作为快速便捷的参考工具,还能提供关于特定感兴趣子主题的更深入信息。

相似文献

1
From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.
Free Neuropathol. 2022 Aug 5;3:19. doi: 10.17879/freeneuropathology-2022-4210. eCollection 2022 Jan.
2
Raman Spectroscopy: An Emerging Tool in Neurodegenerative Disease Research and Diagnosis.
ACS Chem Neurosci. 2018 Mar 21;9(3):404-420. doi: 10.1021/acschemneuro.7b00413. Epub 2018 Feb 6.
3
[Application of Raman-based technologies in the detection of urological tumors].
Beijing Da Xue Xue Bao Yi Xue Ban. 2022 Aug 18;54(4):779-784. doi: 10.19723/j.issn.1671-167X.2022.04.033.
4
Shining light on neurosurgery diagnostics using Raman spectroscopy.
J Neurooncol. 2016 Oct;130(1):1-9. doi: 10.1007/s11060-016-2223-9. Epub 2016 Aug 13.
5
Advantages and limitations of Raman spectroscopy for molecular diagnostics: an update.
Expert Rev Mol Diagn. 2015 Jun;15(6):773-87. doi: 10.1586/14737159.2015.1036744. Epub 2015 Apr 15.
6
Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience.
ACS Nano. 2024 Aug 27;18(34):22620-22647. doi: 10.1021/acsnano.4c05200. Epub 2024 Aug 1.
8
Raman spectroscopy assisted tear analysis: A label free, optical approach for noninvasive disease diagnostics.
Exp Eye Res. 2024 Jun;243:109913. doi: 10.1016/j.exer.2024.109913. Epub 2024 Apr 26.
10
Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms.
Free Neuropathol. 2021 Oct 4;2:26. doi: 10.17879/freeneuropathology-2021-3458. eCollection 2021 Jan.

引用本文的文献

1
Clinical study of the diagnosis of thyroid tumours using Raman spectroscopy.
Braz J Otorhinolaryngol. 2025 Feb 28;91(3):101568. doi: 10.1016/j.bjorl.2025.101568.
2
Perspective: Raman spectroscopy for detection and management of diseases affecting the nervous system.
Front Vet Sci. 2024 Oct 21;11:1468326. doi: 10.3389/fvets.2024.1468326. eCollection 2024.
3
Unveiling brain disorders using liquid biopsy and Raman spectroscopy.
Nanoscale. 2024 Jun 27;16(25):11879-11913. doi: 10.1039/d4nr01413h.
4
Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.
Int J Mol Sci. 2024 Apr 10;25(8):4195. doi: 10.3390/ijms25084195.
6
7
Neurooncology: 2023 update.
Free Neuropathol. 2023 Mar 20;4:4. doi: 10.17879/freeneuropathology-2023-4692. eCollection 2023 Jan.

本文引用的文献

1
Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms.
Free Neuropathol. 2021 Oct 4;2:26. doi: 10.17879/freeneuropathology-2021-3458. eCollection 2021 Jan.
2
Guiding Epilepsy Surgery with an LRP1-Targeted SPECT/SERRS Dual-Mode Imaging Probe.
ACS Appl Mater Interfaces. 2023 Jan 11;15(1):14-25. doi: 10.1021/acsami.2c02540. Epub 2022 May 19.
3
Rapid identification of human muscle disease with fibre optic Raman spectroscopy.
Analyst. 2022 May 30;147(11):2533-2540. doi: 10.1039/d1an01932e.
4
Determination of brain injury biomarkers by surface-enhanced Raman scattering using hollow gold nanospheres.
RSC Adv. 2018 Jan 15;8(6):3143-3150. doi: 10.1039/c7ra12410d. eCollection 2018 Jan 12.
6
Assessing Nordihydroguaiaretic Acid Therapeutic Effect for Glioblastoma Multiforme.
Sensors (Basel). 2022 Mar 30;22(7):2643. doi: 10.3390/s22072643.
8
Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence.
Neurosurgery. 2022 Jun 1;90(6):758-767. doi: 10.1227/neu.0000000000001929. Epub 2022 Mar 30.
9
Rapid Biomarker Screening of Alzheimer's Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy.
ACS Nano. 2022 Apr 26;16(4):6426-6436. doi: 10.1021/acsnano.2c00538. Epub 2022 Mar 25.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验