Journal article
Deep3DSIM: super-resolution imaging of thick tissue using 3D structured illumination with adaptive optics
- Abstract:
- Three-dimensional structured illumination microscopy (3D-SIM) doubles the resolution of fluorescence imaging in all directions and enables optical sectioning with increased image contrast. However, 3D-SIM has not been widely applied to imaging deep in thick tissues due to its sensitivity to sample-induced aberrations, making the method difficult to apply beyond 10 µm in depth. Furthermore, 3D-SIM has not been available in an upright configuration, limiting its use for live imaging while manipulating the specimen, for example, with electrophysiology. Here, we have overcome these barriers by developing a novel upright 3D-SIM system (termed Deep3DSIM) that incorporates adaptive optics for aberration correction and remote focusing, reducing artefacts, improving contrast, restoring resolution, and eliminating the need to move the specimen or the objective lens in volume imaging. These advantages are equally applicable to inverted 3D-SIM systems. We demonstrate high-quality 3D-SIM imaging in various samples, including imaging more than 130 µm into the Drosophila brain.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 5.3MB, Terms of use)
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- Publisher copy:
- 10.7554/eLife.102144
Authors
+ Biotechnology and Biological Sciences Research Council
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- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- [BB/M011224/1]
- Publisher:
- eLife Sciences Publications
- Journal:
- eLife More from this journal
- Volume:
- 14
- Article number:
- e102144
- Place of publication:
- England
- Publication date:
- 2025-10-28
- Acceptance date:
- 2025-09-04
- DOI:
- EISSN:
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2050-084X
- Language:
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English
- Pubs id:
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2307598
- UUID:
-
uuid_ad49a8d0-9f4a-4e7d-ac36-6c7812ca8873
- Local pid:
-
pubs:2307598
- Deposit date:
-
2025-11-06
- ARK identifier:
Terms of use
- Copyright holder:
- Wang et al
- Copyright date:
- 2025
- Rights statement:
- © 2025 Wang, Stoychev et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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