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High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level

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  • Hui Gong

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Dongli Xu

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Jing Yuan

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Xiangning Li

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Congdi Guo

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Jie Peng

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Yuxin Li

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Lindsay A. Schwarz

    (Stanford University)

  • Anan Li

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Bihe Hu

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Benyi Xiong

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Qingtao Sun

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Yalun Zhang

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Jiepeng Liu

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Qiuyuan Zhong

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Tonghui Xu

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Shaoqun Zeng

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

  • Qingming Luo

    (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology
    Key Laboratory for Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology)

Abstract

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.

Suggested Citation

  • Hui Gong & Dongli Xu & Jing Yuan & Xiangning Li & Congdi Guo & Jie Peng & Yuxin Li & Lindsay A. Schwarz & Anan Li & Bihe Hu & Benyi Xiong & Qingtao Sun & Yalun Zhang & Jiepeng Liu & Qiuyuan Zhong & To, 2016. "High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level," Nature Communications, Nature, vol. 7(1), pages 1-12, November.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12142
    DOI: 10.1038/ncomms12142
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    Cited by:

    1. Meng Wang & Ke Liu & Junxia Pan & Jialin Li & Pei Sun & Yongsheng Zhang & Longhui Li & Wenyan Guo & Qianqian Xin & Zhikai Zhao & Yurong Liu & Zhenqiao Zhou & Jing Lyu & Ting Zheng & Yunyun Han & Chunq, 2022. "Brain-wide projection reconstruction of single functionally defined neurons," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Shu Wang & Xiaoxiang Liu & Yueying Li & Xinquan Sun & Qi Li & Yinhua She & Yixuan Xu & Xingxin Huang & Ruolan Lin & Deyong Kang & Xingfu Wang & Haohua Tu & Wenxi Liu & Feng Huang & Jianxin Chen, 2023. "A deep learning-based stripe self-correction method for stitched microscopic images," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    3. Diek W. Wheeler & Shaina Banduri & Sruthi Sankararaman & Samhita Vinay & Giorgio A. Ascoli, 2024. "Unsupervised classification of brain-wide axons reveals the presubiculum neuronal projection blueprint," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    4. Qingtao Sun & Jianping Zhang & Anan Li & Mei Yao & Guangcai Liu & Siqi Chen & Yue Luo & Zhi Wang & Hui Gong & Xiangning Li & Qingming Luo, 2022. "Acetylcholine deficiency disrupts extratelencephalic projection neurons in the prefrontal cortex in a mouse model of Alzheimer’s disease," Nature Communications, Nature, vol. 13(1), pages 1-22, December.

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