Correlative microscopy, the integration of two or more microscopy techniques performed on the same sample, produces results that emphasize the strengths of each technique while offsetting their individual weaknesses. Light microscopy has historically been a central method in correlative microscopy due to its widespread availability, compatibility with hydrated and live biological samples, and excellent molecular specificity through fluorescence labeling. However, conventional light microscopy can only achieve a resolution of ∼300 nm, undercutting its advantages in correlations with higher-resolution methods. The rise of super-resolution microscopy (SRM) over the past decade has drastically improved the resolution of light microscopy to ∼10 nm, thus creating exciting new opportunities and challenges for correlative microscopy. Here we review how these challenges are addressed to effectively correlate SRM with other microscopy techniques, including light microscopy, electron microscopy, cryomicroscopy, atomic force microscopy, and various forms of spectroscopy. Though we emphasize biological studies, we also discuss the application of correlative SRM to materials characterization and single-molecule reactions. Finally, we point out current limitations and discuss possible future improvements and advances. We thus demonstrate how a correlative approach adds new dimensions of information and provides new opportunities in the fast-growing field of SRM.

中文翻译：

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相关的超高分辨率显微镜：新的维度和新的机会

相关显微镜技术是对同一样品执行的两种或多种显微镜技术的整合，其结果强调了每种技术的优势，同时弥补了其各自的弱点。由于光学显微镜的广泛可用性，与水合和活生物样品的相容性以及通过荧光标记的出色分子特异性，光学显微镜历来一直是相关显微镜的主要方法。但是，传统的光学显微镜只能实现约300 nm的分辨率，削弱了其与高分辨率方法相关的优势。在过去的十年中，超分辨率显微镜（SRM）的兴起极大地将光学显微镜的分辨率提高到了约10 nm，从而为相关显微镜带来了令人兴奋的新机遇和挑战。在这里，我们回顾了如何应对这些挑战，以有效地将SRM与其他显微镜技术相关联，包括光学显微镜，电子显微镜，低温显微镜，原子力显微镜和各种形式的光谱。尽管我们强调生物学研究，但我们也讨论了相关SRM在材料表征和单分子反应中的应用。最后，我们指出了当前的局限性，并讨论了未来可能的改进和进步。因此，我们证明了相关方法如何在SRM快速发展的领域中增加信息的新维度并提供新的机会。尽管我们强调生物学研究，但我们也讨论了相关SRM在材料表征和单分子反应中的应用。最后，我们指出了当前的局限性，并讨论了未来可能的改进和进步。因此，我们证明了相关方法如何在SRM快速发展的领域中增加信息的新维度并提供新的机会。尽管我们强调生物学研究，但我们也讨论了相关SRM在材料表征和单分子反应中的应用。最后，我们指出了当前的局限性，并讨论了未来可能的改进和进步。因此，我们证明了相关方法如何在SRM快速发展的领域中增加信息的新维度并提供新的机会。