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相关多模态显微镜:一种优化生物应用中荧光显微镜分辨率的新方案。

Correlative Multi-Modal Microscopy: A Novel Pipeline for Optimizing Fluorescence Microscopy Resolutions in Biological Applications.

机构信息

Department of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.

出版信息

Cells. 2023 Jan 17;12(3):354. doi: 10.3390/cells12030354.

Abstract

The modern fluorescence microscope is the convergence point of technologies with different performances in terms of statistical sampling, number of simultaneously analyzed signals, and spatial resolution. However, the best results are usually obtained by maximizing only one of these parameters and finding a compromise for the others, a limitation that can become particularly significant when applied to cell biology and that can reduce the spreading of novel optical microscopy tools among research laboratories. Super resolution microscopy and, in particular, molecular localization-based approaches provide a spatial resolution and a molecular localization precision able to explore the scale of macromolecular complexes in situ. However, its use is limited to restricted regions, and consequently few cells, and frequently no more than one or two parameters. Correlative microscopy, obtained by the fusion of different optical technologies, can consequently surpass this barrier by merging results from different spatial scales. We discuss here the use of an acquisition and analysis correlative microscopy pipeline to obtain high statistical sampling, high content, and maximum spatial resolution by combining widefield, confocal, and molecular localization microscopy.

摘要

现代荧光显微镜是不同性能技术的汇聚点,这些技术在统计采样、同时分析信号的数量和空间分辨率方面各有优势。然而,通常情况下,最好的结果是通过最大化其中一个参数并为其他参数找到一个折衷方案来获得,当应用于细胞生物学时,这种限制可能会变得尤为明显,并且会降低新型光学显微镜工具在研究实验室中的推广。超分辨率显微镜,特别是基于分子定位的方法,提供了能够原位探测大分子复合物的空间分辨率和分子定位精度。然而,其应用受到限制,只能用于有限的区域,因此只能用于少数细胞,通常不超过一个或两个参数。相关显微镜技术通过融合不同的光学技术,可以通过融合来自不同空间尺度的结果来克服这一障碍。在这里,我们讨论了使用采集和分析相关显微镜的流水线,通过组合宽场、共聚焦和分子定位显微镜来获得高统计采样、高内容和最大空间分辨率。

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