The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Super-Resolution Mapping of Neuronal Circuitry With an Index-Optimized Clearing Agent
Open accessAbstract
Super-resolution imaging deep inside tissues has been challenging, as it is extremely sensitive to light scattering and spherical aberrations. Here, we report an optimized optical clearing agent for high-resolution fluorescence imaging (SeeDB2). SeeDB2 matches the refractive indices of fixed tissues to that of immersion oil (1.518), thus minimizing both light scattering and spherical aberrations. During the clearing process, fine morphology and fluorescent proteins were highly preserved. SeeDB2 enabled super-resolution microscopy of various tissue samples up to a depth of >100 μm, an order of magnitude deeper than previously possible under standard mounting conditions. Using this approach, we demonstrate accumulation of inhibitory synapses on spine heads in NMDA-receptor-deficient neurons. In the fly medulla, we found unexpected heterogeneity in axon bouton orientations among Mi1 neurons, a part of the motion detection circuitry. Thus, volumetric super-resolution microscopy of cleared tissues is a powerful strategy in connectomic studies at synaptic levels.
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Cites
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STED super-resolved microscopy
Vicidomini, G., Bianchini, P., & Diaspro, A. (2018) · Nature Methods · doi:10.1038/nmeth.4593 · Cited by 717
Protection of tissue physicochemical properties using polyfunctional crosslinkers
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Murakami, T. C., Mano, T., Saikawa, S., Horiguchi, S. A., Shigeta, D., Baba, K., Sekiya, H., Shimizu, Y., Tanaka, K. F., Kiyonari, H., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0109-1 · Cited by 292
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A guidebook for DISCO tissue clearing
Molbay, M., Kolabas, Z. I., Todorov, M. I., Ohn, T., & Ertürk, A. (2021) · Molecular Systems Biology · doi:10.15252/msb.20209807 · Cited by 96
Metadata
- Authors
- Ke, M.-T., Nakai, Y., Fujimoto, S., Takayama, R., Yoshida, S., Kitajima, T. S., Sato, M., & Imai, T.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 14
- Issue
- 11
- Pages
- 2718-2732
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2296740725
- Cited by
- 264
- References
- 44
- FWCI
- 18.41
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ke, M.-T., Nakai, Y., Fujimoto, S., Takayama, R., Yoshida, S., Kitajima, T. S., Sato, M., & Imai, T. (2016). Super-Resolution Mapping of Neuronal Circuitry With an Index-Optimized Clearing Agent. Cell Reports. https://doi.org/10.1016/j.celrep.2016.02.057
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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.
