Modulares STED-Mikroskop

模块化STED显微镜

• 批准号: 290783740
• 金额: --
• 依托单位: Universitätsmedizin Göttingen (UMG)
• 依托单位国家: 德国
• 项目类别: Major Research Instrumentation
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 无数据
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/290783740?language=en
• 关键词: Modulares; STED; Mikroskop

Fluorescence microscopes have been limited for decades by the diffraction barrier, to approximately half of the wavelength of the imaging light (in practice, 200-350 nm). Two types of approaches have been developed to overcome the diffraction barrier. First, the coordinate-targeted approach, which uses a patterned light beam to determine the coordinates from which fluorophores are permitted to emit, used by concepts such as STED. Second, the single-molecule based approach, which is based on the determination of the positions of single fluorophores, which are allowed to emit randomly. This approach is typical of concepts such as PALM, STORM, dSTORM, and GSDIM. STED is faster than PALM/STORM/GSDIM, and is easier to use in live imaging. PALM/STORM/GSDIM are slower, but provide a higher resolution, and are inherently able to count molecules. We propose to combine here the advantages of the two techniques. We propose to purchase the modules that will allow us to build a STED-STORM microscope. This setup combines the advantages of STED, such as high speed, ease of analysis and low propensity to analysis-induced problems, with those of dSTORM or PALM: very high resolution and molecule counting. This will be a unique, never before realized setup, which will open new fields of super-resolution imaging.

几十年来，荧光显微镜一直受到衍射屏障的限制，大约是成像光波长的一半（实际上，200-350 nm）。已经开发了两种类型的方法来克服衍射障碍。首先是坐标靶向方法，它使用图案化的光束来确定允许荧光团发射的坐标，用于STED等概念。第二，基于单分子的方法，其基于允许随机发射的单个荧光团的位置的确定。这种方法是PALM、STORM、dSTORM和GSDIM等概念的典型方法。STED比PALM/STORM/GSDIM更快，并且更容易在实时成像中使用。PALM/STORM/GSDIM较慢，但提供更高的分辨率，并且固有地能够计数分子。我们建议联合收割机在这里结合这两种技术的优点。我们建议购买的模块，将使我们能够建立一个STED-STORM显微镜。这种设置结合了STED的优点，如高速，易于分析和分析引起的问题的低倾向，与dSTORM或PALM的优点：非常高的分辨率和分子计数。这将是一个独特的，以前从未实现的设置，这将打开超分辨率成像的新领域。