High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level
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The precise annotation and accurate identification of neural structures are prerequisites for studying mammalian brain function. The orientation of neurons and neural circuits is usually determined by mapping brain images to coarse axial-sampling planar reference atlases. However, individual differences at the cellular level likely lead to position errors and an inability to orient neural projections at single-cell resolution. Here, we present a high-throughput precision imaging method that can acquire a co-localized brain-wide data set of both fluorescent-labelled neurons and counterstained cell bodies at a voxel size of 0.32 × 0.32 × 2.0 μm in 3 days for a single mouse brain. We acquire mouse whole-brain imaging data sets of multiple types of neurons and projections with anatomical annotation at single-neuron resolution. The results show that the simultaneous acquisition of labelled neural structures and cytoarchitecture reference in the same brain greatly facilitates precise tracing of long-range projections and accurate locating of nuclei.
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By combining fMOST and the dual-AAV sparse labeling system, their strategy ensures that they are precisely tracing genetically defined individual serotonin neurons and their projections across the whole brain.
“By combining fMOST (Gong et al., 2016) and the dual-AAV sparse labeling system (Lin et al., 2018), our strategy ensures that we are precisely tracing genetically defined individual serotonin neurons and their projections across the whole brain.”
From Single-cell transcriptomes and whole-brain projections of serotonin neurons in the mouse dorsal and median raphe nuclei (2019) · cites this paper as Gong et al., 2016
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- Authors
- Gong, H., Xu, D., Yuan, J., Li, X., Guo, C., Peng, J., Li, Y., Schwarz, L. A., Li, A., Hu, B., Xiong, B., Sun, Q., Zhang, Y., Liu, J., Zhong, Q., Xu, T., Zeng, S., & Luo, Q.
- Affiliations
- Wuhan National Laboratory for Optoelectronics (CN)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Luo, Qingming
- ORCID
- Venue
- Nature Communications
- Published
- 2016-07-04
- Volume
- 7
- Issue
- 1
- Pages
- 12142-12142
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC4932192
- OpenAlex
- W2467946152
- Cited by
- 368
- References
- 33
- Citations by year
- 2026: 28 · 2025: 42 · 2024: 34 · 2023: 47 · 2022: 44 · 2021: 34 · 2020: 36 · 2019: 43 · 2018: 21 · 2017: 35 · 2016: 3
- FWCI
- 21.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- whole-brain imaging, brain connectome, cytoarchitecture, single-neuron resolution, mouse brain
- MeSH terms
- Animals, Brain, Color, Feasibility Studies, Image Processing, Computer-Assisted, Male, Mice, Inbred C57BL, Mice, Transgenic, Microscopy, Neural Pathways, Neurons, Tomography, Imaging, Three-Dimensional, Models, Animal, Mice, Single-Cell Analysis, Connectome
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