Super-Resolution Fluorescence Microscopy for Single Cell Imaging
Super-Resolution Fluorescence Microscopy for Single Cell Imaging
复制标题
用于单细胞成像的超分辨率荧光显微镜
DOI：
10.1007/978-981-13-0502-3_6
复制
发表时间：
2018-01-01
期刊：
影响因子：
--
通讯作者：
Gao, Yongju
中科院分区：
文献类型：
--
作者：
Feng, Han;Wang, Xiaobo;Gao, Yongju
在过去的二十年里，超分辨率荧光显微镜经历了一个动态的演变。在受激发射耗尽（STED）显微镜的概念验证研究之后，已经开发了几种新方法，如结构照明显微镜（SIM），光活化定位显微镜（PALM）和随机光学重建显微镜（STORM），用于生物研究中的纳米结构细节和快速细胞动力学成像。在本章中，在简要解释它们的原理之后，我们将描述这些超分辨率技术在单细胞成像中的最新应用。此外，还讨论了超分辨率显微镜向3D、三维、活细胞成像和多模态成像的扩展，显著提高了单细胞成像的精度。结合分子生物学，生物化学和生物计算算法，超分辨率荧光显微镜继续扩展其功能，并提供对单细胞细节的全面见解。
In the past two decades, super-resolution fluorescence microscopy has undergone a dynamic evolution. Following proof-of-concept studies with stimulated emission depletion (STED) microscopy, several new approaches such as structured illumination microscopy (SIM), photoactivation localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM), have been developed for imaging of nanoscale structural details and fast cellular dynamics in biological research. In this chapter, after briefly explaining their principles, we will describe the recent application of these super-resolution techniques in single cell imaging. In addition, the extension of super-resolution microscopy to 3D, multicolor, live-cell imaging and multimodal imaging are also discussed, significantly improving the precision of single cell imaging. Combining with molecular biology, biochemistry and bio-computing algorithms, super-resolution fluorescence microscopy continues to expand its capabilities and provide comprehensive insights into the details of single cells.