Tilted thick light-sheet microscopy with context-aware 3D localization for RNA imaging in intact 50 μm-thick sections

Neuron typing in intact brain sections demands 3D imaging reconciling thickness compatibility with large-area coverage, which is a persistent challenge for RNA imaging methods limited by either imaging area (< 1 mm<sup>2</sup>) or section thickness (< 20 μm). Here we introduce tilted thick light-sheet microscopy integrated with a context-aware 3D astigmatic localization algorithm based on continuous frame filtering, enabling multiplexed RNA imaging across 50 μm-thick tissue sections and centimeter-scale regions. The 45° illumination geometry achieves optical-interference-free imaging in a 50 μm-thick sample, while a context-aware 3D localization algorithm recovers submicron resolution by pinpointing fluorescence in situ hybridization (FISH) spots within volumetric excitation. This strategy could reveal layer-spanning neuronal distributions and region-specific expression gradients unattainable with conventional RNA imaging approaches. By resolving the trade-off between imaging depth and spatial coverage, our platform advances whole-brain transcriptomics and has the potential to carry out 3D neuron typing, which is critical for deciphering brain-wide cellular architectures.

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Publication Details

Journal
Optics Express
Published
2025-07-14
DOI
https://doi.org/10.1364/oe.570174
Citations
1
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
1.63

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article

Tilted thick light-sheet microscopy with context-aware 3D localization for RNA imaging in intact 50 μm-thick sections

S. Huang, Dongjian Cao, Zhen‐Li Huang, Yinghao Xiao et al.
1 citations
Optics Express
Advanced Fluorescence Microscopy Techniques
1.63
article

Tilted thick light-sheet microscopy with context-aware 3D localization for RNA imaging in intact 50 μm-thick sections

S. Huang, Dongjian Cao, Zhen‐Li Huang, Yinghao Xiao, Jie Yang, Qihang Song, Lin Cai, Yingjun Zhang, Xingguang Chen, Wendi Wu, Qihuan Li
article en
1 citations

Abstract

Neuron typing in intact brain sections demands 3D imaging reconciling thickness compatibility with large-area coverage, which is a persistent challenge for RNA imaging methods limited by either imaging area (< 1 mm<sup>2</sup>) or section thickness (< 20 μm). Here we introduce tilted thick light-sheet microscopy integrated with a context-aware 3D astigmatic localization algorithm based on continuous frame filtering, enabling multiplexed RNA imaging across 50 μm-thick tissue sections and centimeter-scale regions. The 45° illumination geometry achieves optical-interference-free imaging in a 50 μm-thick sample, while a context-aware 3D localization algorithm recovers submicron resolution by pinpointing fluorescence in situ hybridization (FISH) spots within volumetric excitation. This strategy could reveal layer-spanning neuronal distributions and region-specific expression gradients unattainable with conventional RNA imaging approaches. By resolving the trade-off between imaging depth and spatial coverage, our platform advances whole-brain transcriptomics and has the potential to carry out 3D neuron typing, which is critical for deciphering brain-wide cellular architectures.

Optics ExpressVol. 33(15)
Huazhong University of Science and Technology (CN), Wuhan Sports University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Advanced Fluorescence Microscopy Techniques
1.63
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