The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Adaptive optical microscopy: the ongoing quest for a perfect image
Open accessAbstract
Adaptive optics is becoming a valuable tool for high resolution microscopy, providing correction for aberrations introduced by the refractive index structure of specimens. This is proving particularly promising for applications that require images from deep within biological tissue specimens. We review recent developments in adaptive microscopy, including methods and applications. A range of advances in different microscope modalities is covered and prospects for the future are discussed.
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Citations
Cites
Super-resolution fluorescence microscopy
Huang, B., Bates, M., & Zhuang, X. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061906.092014 · Cited by 1,657
Cited by
Adaptive optical fluorescence microscopy
Ji, N. (2017) · Nature Methods · doi:10.1038/nmeth.4218 · Cited by 527
In vivo imaging of neural activity
Yang, W., & Yuste, R. (2017) · Nature Methods · doi:10.1038/nmeth.4230 · Cited by 406
Metadata
- Authors
- Booth, M. J.
- Venue
- Light: Science & Applications
- Published
- 2014-04-25
- Volume
- 3
- Issue
- 4
- Pages
- e165-e165
- ISSN
- 2047-7538 (ISSN-L)
- OpenAlex
- W2037657651
- Cited by
- 645
- References
- 1
- FWCI
- 19.13
- Type
- journal article
- Language
- en
- Open access
- gold
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- Booth, M. J. (2014). Adaptive optical microscopy: the ongoing quest for a perfect image. Light: Science & Applications. https://doi.org/10.1038/lsa.2014.46
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
