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Raman spectroscopy in cell biology and microbiology
Journal of Raman Spectroscopy ( IF 2.4 ) Pub Date : 2021-08-22 , DOI: 10.1002/jrs.6204
Giuseppe Pezzotti 1, 2, 3, 4, 5
Affiliation  

The Raman spectrum of living cells and microorganisms contains highly specific fingerprint-like signatures, useful in unequivocally identifying different species and interpreting physiological and metabolic responses to environmental stressors. In situ Raman imaging with dedicated highly sensitive instruments can translate selected spectroscopic fingerprints into vivid snapshots of molecular species or specific physiological reactions. Time-lapse experiments, crucial in characterizing growth-dependent phenomena and metabolic response to drugs or substrates, are possible because Raman imaging is life compatible. This review covers miscellaneous examples of Raman analyses and imaging of eukaryotic cells, bacteria, and viruses. Fundamental microbiological analyses covered here include (i) identification of different species of cells, bacteria, and viruses; (ii) characterization of the metabolic responses of cells and bacteria to different substrates; (iii) time-lapse analyses of cell metabolic reactions upon viral inoculation; (iv) chemical imaging of axon sprouting in neuronal cells; and (v) visualization of the myelinating activity of living Schwann cells in coculture with neuronal cells. The spectroscopic findings displayed here, which are based on a machine learning approach applied to Raman analysis and imaging, demonstrate the invaluable potential for Raman spectroscopy in biophysics research.

中文翻译:

细胞生物学和微生物学中的拉曼光谱

活细胞和微生物的拉曼光谱包含高度特异性的指纹样特征,可用于明确识别不同物种并解释对环境压力的生理和代谢反应。使用专用的高灵敏度仪器进行原位拉曼成像可以将选定的光谱指纹转化为分子种类或特定生理反应的生动快照。延时实验对于表征生长依赖现象和对药物或底物的代谢反应至关重要,因为拉曼成像与生命相容。本综述涵盖了真核细胞、细菌和病毒的拉曼分析和成像的各种示例。此处涵盖的基本微生物学分析包括 (i) 鉴定不同种类的细胞、细菌、和病毒;(ii) 表征细胞和细菌对不同底物的代谢反应;(iii) 病毒接种后细胞代谢反应的延时分析;(iv) 神经元细胞中轴突萌芽的化学成像;(v) 与神经元细胞共培养的活雪旺细胞的髓鞘形成活性的可视化。此处展示的光谱发现基于应用于拉曼分析和成像的机器学习方法,展示了拉曼光谱在生物物理学研究中的宝贵潜力。(v) 与神经元细胞共培养的活雪旺细胞的髓鞘形成活性的可视化。此处展示的光谱发现基于应用于拉曼分析和成像的机器学习方法,展示了拉曼光谱在生物物理学研究中的宝贵潜力。(v) 与神经元细胞共培养的活雪旺细胞的髓鞘形成活性的可视化。此处展示的光谱发现基于应用于拉曼分析和成像的机器学习方法,展示了拉曼光谱在生物物理学研究中的宝贵潜力。
更新日期:2021-08-22
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