The DOI matches its Crossref record; 348 of the 348 references it cites were found in a registry or an index.
Advances in Light Microscopy for Neuroscience
Open accessAbstract
Since the work of Golgi and Cajal, light microscopy has remained a key tool for neuroscientists to observe cellular properties. Ongoing advances have enabled new experimental capabilities using light to inspect the nervous system across multiple spatial scales, including ultrastructural scales finer than the optical diffraction limit. Other progress permits functional imaging at faster speeds, at greater depths in brain tissue, and over larger tissue volumes than previously possible. Portable, miniaturized fluorescence microscopes now allow brain imaging in freely behaving mice. Complementary progress on animal preparations has enabled imaging in head-restrained behaving animals, as well as time-lapse microscopy studies in the brains of live subjects. Mouse genetic approaches permit mosaic and inducible fluorescence-labeling strategies, whereas intrinsic contrast mechanisms allow in vivo imaging of animals and humans without use of exogenous markers. This review surveys such advances and highlights emerging capabilities of particular interest to neuroscientists.
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Cites
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Cited by
Grienberger, C., & Konnerth, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.011 · Cited by 1,354
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Micro-Optical Sectioning Tomography to Obtain a High-Resolution Atlas of the Mouse Brain
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Metadata
- Authors
- Wilt, B. A., Burns, L. D., Wei Ho, E. T., Ghosh, K. K., Mukamel, E. A., & Schnitzer, M. J.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2009-06-01
- Volume
- 32
- Issue
- 1
- Pages
- 435-506
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2105011233
- Cited by
- 278
- References
- 348
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- green
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- Wilt, B. A., Burns, L. D., Wei Ho, E. T., Ghosh, K. K., Mukamel, E. A., & Schnitzer, M. J. (2009). Advances in Light Microscopy for Neuroscience. Annual Review of Neuroscience. https://doi.org/10.1146/annurev.neuro.051508.135540
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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