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Correlative Super-Resolution Microscopy: New Dimensions and New Opportunities

期刊

CHEMICAL REVIEWS
卷 117, 期 11, 页码 7428-7456

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.6b00604

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资金

  1. National Science Foundation [CHE-1554717]
  2. Pew Biomedical Scholars Award
  3. Beckman Young Investigator Program
  4. Sloan Research Fellowship
  5. Hellman Fellows Fund
  6. Bakar Fellows Award
  7. Department of Chemistry at UC Berkeley
  8. LDRD Program of LBNL under DOE [DE-AC02-05CH11231]
  9. NSF Graduate Research Fellowship [DGE 1106400]
  10. Direct For Mathematical & Physical Scien [1554717] Funding Source: National Science Foundation
  11. Division Of Chemistry [1554717] Funding Source: National Science Foundation

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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 similar to 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 similar 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.

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