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Optimisation of multimodal coherent anti-Stokes Raman scattering microscopy for the detection of isotope-labelled molecules

机译:用于检测同位素标记分子的多峰相干反斯托克斯拉曼散射显微镜的优化

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摘要

Coherent anti-Stokes Raman scattering (CARS) microscopy utilises intrinsic vibrational resonances ofmolecules to drive inelastic scattering of light, and thus eradicates the need for exogenous fluorescent labelling, whilstproviding high-resolution three-dimensional images with chemical specificity. Replacement of hydrogen atoms withdeuterium presents a labelling strategy that introduces minimal change to compound structure yet is compatible withCARS due to an induced down-shift of the CH_2 peak into a region of the Raman spectrum which does not containcontributions from other chemical species, thus giving contrast against other cellular components.We present our work using deuterated oleic acid to optimise setup of an in-house-developed multimodal,multiphoton, laser-scanning microscope for precise identification of carbon-deuterium-associated peaks within the silentregion of the Raman spectrum. Application of the data analysis procedure, factorisation into susceptibilities andconcentrations of chemical components (FSC~3), enables the identification and quantitative spatial resolution of specificdeuterated chemical components within a hyperspectral CARS image. Full hyperspectral CARS datasets were acquiredfrom HeLa cells incubated with either deuterated or non-deuterated oleic acid, and subsequent FSC~3 analysis enabledidentification of the intracellular location of the exogenously applied deuterated lipid against the chemical background ofthe cell. Through application of FSC~3 analysis, deuterium-labelling may provide a powerful technique for imaging smallmolecules which are poorly suited to conventional fluorescence techniques.
机译:相干抗斯托克斯拉曼散射(CARS)显微镜利用分子的固有振动共振来驱动光的非弹性散射,从而消除了对外源荧光标记的需求,同时提供了具有化学成分的高分辨率三维图像特异性。用氘置换氢原子提供了一种标记策略,该标记策略将化合物结构的变化降至最低,但由于CH_2峰感应下移至不包含拉曼光谱的区域,因此与rCARCAR兼容\ r \ n来自其他化学物种的贡献,因此与其他细胞成分形成对比。\ r \ n我们目前使用氘化油酸优化内部开发的多峰,多光子激光扫描显微镜的设置,以展示我们的工作精确识别拉曼光谱无声区中与碳氘有关的峰。数据分析程序的应用,分解成化学成分的磁化率和浓度(FSC〜3),可以识别和识别高光谱CARS图像中特定的氘代化学成分。从使用氘化或非氘代油酸培养的HeLa细胞中获得完整的高光谱CARS数据集,随后进行FSC〜3分析\ r \ r \ n \ n \ n \ n \ n \ n \ n \ n \ n \\\\\\\\\\\\\\\\\\\\\\\ en \ n \ n \ n \ n \“ \” \“ \” \“ \” r \ n单元格。通过应用FSC〜3分析,氘标记可能为不适合常规荧光技术的小分子成像提供强大的技术。

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  • 来源
    《Label-free Biomedical Imaging and Sensing 2019》|2019年|1089005.1-1089005.11|共11页
  • 会议地点 1605-7422;2410-9045
  • 作者单位

    School of Biosciences, Sir Martin Evans building, Cardiff University, Museum Avenue, Cardiff,Wales, CF10 3AX, United Kingdom;

    School of Biosciences, Sir Martin Evans building, Cardiff University, Museum Avenue, Cardiff,Wales, CF10 3AX, United Kingdom;

    School of Physics and Astronomy, Cardiff University, TheParade, Cardiff, CF24 3AA, United Kingdom;

    GSK Medicines Research Centre, Gunnels WoodRoad, Stevenage, Hertfordshire, SG1 2NY, United Kingdom;

    School of Biosciences, Sir Martin Evans building, Cardiff University, Museum Avenue, Cardiff,Wales, CF10 3AX, United Kingdom;

    School of Biosciences, Sir Martin Evans building, Cardiff University, Museum Avenue, Cardiff,Wales, CF10 3AX, United Kingdom;

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