Division of Neuropathology, Institute of Pathology, Technische Universität München, Munich, Germany.
Biophys J. 2012 Jan 18;102(2):360-8. doi: 10.1016/j.bpj.2011.12.027.
Confocal Raman spectroscopy is a noninvasive alternative to established cell imaging methods because it does not require chemical fixation, the use of fluorescent markers, or genetic engineering. In particular, single live-cell, high-resolution imaging by confocal Raman microscopy is desirable because it allows further experiments concerning the individually investigated cells. However, to derive meaningful images from the spectroscopic data, one must identify cell components within the dataset. Using immunofluorescence images as a reference, we derive Raman spectral signatures by means of information measures to identify cell components such as the nucleus, the endoplasmic reticulum, the Golgi apparatus, and mitochondria. The extracted signatures allow us to generate representations equivalent to conventional (immuno)fluorescence images with more than three cell components at a time, exploiting the Raman spectral information alone.
共聚焦拉曼光谱是一种替代已建立的细胞成像方法的非侵入性方法,因为它不需要化学固定、荧光标记物或基因工程。特别是,通过共焦拉曼显微镜进行单个活细胞、高分辨率成像,因为它允许对单独研究的细胞进行进一步的实验。然而,为了从光谱数据中获得有意义的图像,必须在数据集内识别细胞成分。使用免疫荧光图像作为参考,我们通过信息度量来得出拉曼光谱特征,以识别细胞成分,如核、内质网、高尔基体和线粒体。提取的特征允许我们生成与传统(免疫)荧光图像等效的表示,一次可以表示三个以上的细胞成分,仅利用拉曼光谱信息。