Kuimova Marina K, Chan K L Andrew, Kazarian Sergei G
Department of Chemistry, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom.
Appl Spectrosc. 2009 Feb;63(2):164-71. doi: 10.1366/000370209787391969.
Chemical imaging with Fourier transform infrared (FT-IR) spectroscopy allows the visualization of the distribution of chemical components in cells without the need for labels or added dyes. However, obtaining such images of living cells is difficult because of the strong absorption of water in the mid-infrared region. We report the use of attenuated total reflection (ATR) FT-IR spectroscopic imaging to study live human cancer cells in an aqueous environment, on a single cell level. Two complementary approaches have been used, providing flexibility with field of view and spatial resolution: (1) micro-ATR FT-IR imaging using a microscope objective with a Ge crystal, and (2) single-reflection diamond ATR-FT-IR imaging. Using both approaches, the ATR-FT-IR spectroscopic signatures allow the differentiation between several cellular organelles, e.g., the nucleus and the endoplasmic reticulum (ER). The overall cell shape can be defined by the distribution of the amide II band in the measured image, while the DNA-rich nucleus and glycogen-rich ER could be imaged using the spectral bands at 1084 cm(-1) and 1023 cm(-1), respectively. We also demonstrate the potential of ATR-FT-IR spectroscopic imaging for unraveling the details of the dynamics of biological processes, which are not accessible from cell ensemble studies, with high molecular specificity and satisfactory spatial resolution.
利用傅里叶变换红外(FT-IR)光谱进行化学成像,无需标记或添加染料就能可视化细胞中化学成分的分布。然而,由于中红外区域水的强烈吸收,获取活细胞的此类图像很困难。我们报告了使用衰减全反射(ATR)FT-IR光谱成像技术在单细胞水平上研究水性环境中的活人类癌细胞。采用了两种互补方法,在视场和空间分辨率方面提供了灵活性:(1)使用配备Ge晶体的显微镜物镜进行微ATR FT-IR成像,以及(2)单反射金刚石ATR-FT-IR成像。使用这两种方法,ATR-FT-IR光谱特征能够区分几种细胞器,例如细胞核和内质网(ER)。在测量图像中,酰胺II带的分布可以定义细胞的整体形状,而富含DNA的细胞核和富含糖原的内质网分别可以使用1084 cm(-1)和1023 cm(-1)处的光谱带进行成像。我们还展示了ATR-FT-IR光谱成像在揭示生物过程动力学细节方面的潜力,这些细节无法从细胞群体研究中获得,具有高分子特异性和令人满意的空间分辨率。