Suppr超能文献

基于受激发射损耗显微镜和荧光发射差异显微镜的双模式超分辨率成像

Dual-mode super-resolution imaging with stimulated emission depletion microscopy and fluorescence emission difference microscopy.

作者信息

Wang Yifan, Ma Ye, Kuang Cuifang, Fang Yue, Xu Yingke, Liu Xu, Ding Zhihua

出版信息

Appl Opt. 2015 Jun 10;54(17):5425-31. doi: 10.1364/AO.54.005425.

Abstract

Dual-mode super-resolution imaging system with two different super-resolution imaging methods, STED and FED, is presented. Electrical shutters controlled by the host computer are introduced to switch the two imaging modes. Principles of both methods are analyzed theoretically, and enhancements in the lateral resolution and SNR are demonstrated theoretically and experimentally. Results show that both imaging methods offered by the proposed system can break the diffraction barrier. Furthermore, the presented system provides a meaningful way to image fluorescent samples by a corresponding imaging mode according to the specific characteristics of samples analyzed for study. For samples that can endure high-power illumination, it is appropriate to use the STED mode to achieve a better resolution, while for samples that are vulnerable to high intensity, the FED method is a better choice because no high-power beam is needed, and the FED method can provide better resolution than STED when no high-power beam is allowed. The flexible switching of the two super-resolution imaging modes can help researchers to make most of the advantages of each imaging method. It is believed that the presented system has the potential to be widely used in future nanoscale investigations.

摘要

本文介绍了一种具有受激辐射损耗(STED)和荧光激发损耗(FED)两种不同超分辨率成像方法的双模式超分辨率成像系统。引入了由主机控制的电子快门来切换两种成像模式。从理论上分析了这两种方法的原理,并在理论和实验上证明了横向分辨率和信噪比的提高。结果表明,所提出的系统提供的两种成像方法都可以突破衍射极限。此外,该系统为根据待分析样品的特定特性,通过相应的成像模式对荧光样品进行成像提供了一种有意义的方法。对于能够承受高功率照明的样品,使用STED模式以获得更好的分辨率是合适的,而对于易受高强度影响的样品,FED方法是更好的选择,因为不需要高功率光束,并且在不允许使用高功率光束时,FED方法可以提供比STED更好的分辨率。两种超分辨率成像模式的灵活切换可以帮助研究人员充分利用每种成像方法的优势。相信所提出的系统在未来的纳米尺度研究中具有广泛应用的潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验