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Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain

Author

Listed:
  • Yuwen Chen

    (Tsinghua University
    Tsinghua University)

  • Haoyu Yang

    (Tsinghua University
    IDG/McGovern Institute of Brain Research
    Tsinghua University)

  • Yan Luo

    (Tsinghua University
    Tsinghua University)

  • Yijun Niu

    (Tsinghua University
    IDG/McGovern Institute of Brain Research)

  • Muzhou Yu

    (Xi’an Jiaotong University)

  • Shanjun Deng

    (Sun Yat-sen University)

  • Xuanhao Wang

    (Zhejiang Laboratory)

  • Handi Deng

    (Tsinghua University
    Tsinghua University)

  • Haichao Chen

    (Tsinghua University)

  • Lixia Gao

    (Zhejiang University)

  • Xinjian Li

    (Zhejiang University)

  • Pingyong Xu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Fudong Xue

    (Chinese Academy of Sciences)

  • Jing Miao

    (Canterbury School)

  • Song-Hai Shi

    (Tsinghua University
    IDG/McGovern Institute of Brain Research
    Tsinghua University)

  • Yi Zhong

    (Tsinghua University
    IDG/McGovern Institute of Brain Research
    Tsinghua University)

  • Cheng Ma

    (Tsinghua University
    Tsinghua University)

  • Bo Lei

    (Tsinghua University
    IDG/McGovern Institute of Brain Research
    Beijing Academy of Artificial Intelligence)

Abstract

Cross-modal analysis of the same whole brain is an ideal strategy to uncover brain function and dysfunction. However, it remains challenging due to the slow speed and destructiveness of traditional whole-brain optical imaging techniques. Here we develop a new platform, termed Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN), for non-destructive, high-speed, 3D imaging of ex vivo rodent, ferret, and non-human primate brains. Using an optimally designed image acquisition scheme and an accompanying machine-learning algorithm, PATTERN extracts signals of genetically-encoded probes from photobleaching-based temporal modulation and enables reliable visualization of neural projection in the whole central nervous system with 3D isotropic resolution. Without structural and biological perturbation to the sample, PATTERN can be combined with other whole-brain imaging modalities to acquire the whole-brain image with both high resolution and morphological fidelity. Furthermore, cross-modal transcriptome analysis of an individual brain is achieved by PATTERN imaging. Together, PATTERN provides a compatible and versatile strategy for brain-wide cross-modal analysis at the individual level.

Suggested Citation

  • Yuwen Chen & Haoyu Yang & Yan Luo & Yijun Niu & Muzhou Yu & Shanjun Deng & Xuanhao Wang & Handi Deng & Haichao Chen & Lixia Gao & Xinjian Li & Pingyong Xu & Fudong Xue & Jing Miao & Song-Hai Shi & Yi , 2024. "Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48393-z
    DOI: 10.1038/s41467-024-48393-z
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    References listed on IDEAS

    as
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