ArticleNature communications2017
Automatic and adaptive heterogeneous refractive index compensation for light-sheet microscopy.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Isotropic, aberration-corrected light sheet microscopy for rapid high-resolution imaging of cleared tissue.Nature biotechnology · 2025Article
- Refractive Index-Corrected Light-Sheet Microscopy for Macro-View Cardiovascular Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A multiwell plate approach to increase the sample throughput during tissue clearing.Nature protocols · 2025Review
- Zebrafish fluorescence imaging platform based on Bessel light sheet illumination.Biomedical optics express · 2025Article
- Model based optimization for refractive index mismatched light sheet imaging.Optics express · 2024Article
- Full-aperture extended-depth oblique plane microscopy through dynamic remote focusing.Journal of biomedical optics · 2024Article
- Volumetric light sheet imaging with adaptive optics correction.Biomedical optics express · 2023Article
- Universal autofocus for quantitative volumetric microscopy of whole mouse brains.Nature methods · 2021Article
- Deep learning-based autofocus method enhances image quality in light-sheet fluorescence microscopy.Biomedical optics express · 2021Article
- Tutorial: practical considerations for tissue clearing and imaging.Nature protocols · 2021Review
- Whole brain functional recordings at cellular resolution in zebrafish larvae with 3D scanning multiphoton microscopy.Scientific reports · 2021Article
- Tissue clearing and its applications in neuroscience.Nature reviews. Neuroscience · 2020Review
- Hybrid light-sheet and light-field microscope for high resolution and large volume neuroimaging.Biomedical optics express · 2019Article
- Advanced CUBIC tissue clearing for whole-organ cell profiling.Nature protocols · 2019Article
- FACT or PACT: A Comparison between Free-Acrylamide and Acrylamide-Based Passive Sodium Dodecyl Sulfate Tissue Clearing for whole Tissue Imaging.Cell journal · 2019Article
- Mild myelin disruption elicits early alteration in behavior and proliferation in the subventricular zone.eLife · 2018Article
- Quantifying three-dimensional rodent retina vascular development using optical tissue clearing and light-sheet microscopy.Journal of biomedical optics · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Optical tissue clearing has revolutionized researchers' ability to perform fluorescent measurements of molecules, cells, and structures within intact tissue. One common complication to all optically cleared tissue is a spatially heterogeneous refractive index, leading to light scattering and first-order defocus. We designed C-DSLM (cleared tissue digital scanned light-sheet microscopy) as a low-cost method intended to automatically generate in-focus images of cleared tissue. We demonstrate the flexibility and power of C-DSLM by quantifying fluorescent features in tissue from multiple animal models using refractive index matched and mismatched microscope objectives. This includes a unique measurement of myelin tracks within intact tissue using an endogenous fluorescent reporter where typical clearing approaches render such structures difficult to image. For all measurements, we provide independent verification using standard serial tissue sectioning and quantification methods. Paired with advancements in volumetric image processing, C-DSLM provides a robust methodology to quantify sub-micron features within large tissue sections.Optical clearing of tissue has enabled optical imaging deeper into tissue due to significantly reduced light scattering. Here, Ryan et al. tackle first-order defocus, an artefact of a non-uniform refractive index, extending light-sheet microscopy to partially cleared samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.