TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
PMID: 39283040

Abstract

Two-photon high-speed fluorescence calcium imaging stands as a mainstream technique in neuroscience for capturing neural activities with high spatiotemporal resolution. However, challenges arise from the inherent tradeoff between acquisition speed and image quality, grappling with a low signal-to-noise ratio (SNR) due to limited signal photon flux. Here, a contrast-enhanced video-rate volumetric system, integrating a tunable acoustic gradient (TAG) lens-based high-speed microscopy with a TAG-SPARK denoising algorithm is demonstrated. The former facilitates high-speed dense z-sampling at sub-micrometer-scale intervals, allowing the latter to exploit the spatial redundancy of z-slices for self-supervised model training. This spatial redundancy-based approach, tailored for 4D (xyzt) dataset, not only achieves >700% SNR enhancement but also retains fast-spiking functional profiles of neuronal activities. High-speed plus high-quality images are exemplified by in vivo Purkinje cells calcium observation, revealing intriguing dendritic-to-somatic signal convolution, i.e., similar dendritic signals lead to reverse somatic responses. This tailored technique allows for capturing neuronal activities with high SNR, thus advancing the fundamental comprehension of neuronal transduction pathways within 3D neuronal architecture.

Authors

  • Yin-Tzu Hsieh
    Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, 10617, Taiwan.
  • Kai-Chun Jhan
    Department of Engineering and System Science, National Tsing Hua University, Hsinchu, 30013, Taiwan.
  • Jye-Chang Lee
    Molecular Imaging Center, National Taiwan University, Taipei, 10617, Taiwan.
  • Guan-Jie Huang
    Department of Physics and Molecular Imaging Center, National Taiwan University, Taipei 10617, Taiwan.
  • Chang-Ling Chung
    Department of Physics, National Taiwan University, Taipei, 10617, Taiwan.
  • Wun-Ci Chen
    Department of Engineering and System Science, National Tsing Hua University, Hsinchu, 30013, Taiwan.
  • Ting-Chen Chang
    Department of Physics, National Taiwan University, Taipei, 10617, Taiwan.
  • Bi-Chang Chen
    Research Center for Applied Sciences (RCAS), Academia Sinica, Taipei, 115, Taiwan.
  • Ming-Kai Pan
    Molecular Imaging Center, National Taiwan University, Taipei, 10617, Taiwan.
  • Shun-Chi Wu
  • Shi-Wei Chu
    Department of Physics and Molecular Imaging Center, National Taiwan University, Taipei 10617, Taiwan.

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