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

Autor: Hsieh YT; Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, 10617, Taiwan., Jhan KC; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, 30013, Taiwan., Lee JC; Molecular Imaging Center, National Taiwan University, Taipei, 10617, Taiwan., Huang GJ; Department of Physics, National Taiwan University, Taipei, 10617, Taiwan., Chung CL; Department of Physics, National Taiwan University, Taipei, 10617, Taiwan., Chen WC; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, 30013, Taiwan., Chang TC; Department of Physics, National Taiwan University, Taipei, 10617, Taiwan., Chen BC; Research Center for Applied Sciences (RCAS), Academia Sinica, Taipei, 115, Taiwan., Pan MK; Molecular Imaging Center, National Taiwan University, Taipei, 10617, Taiwan.; Department of Medical Research, National Taiwan University Hospital, Taipei, 10002, Taiwan.; Department and Graduate Institute of Pharmacology, National Taiwan University College of Medicine, Taipei, 10002, Taiwan.; Brain Research Center, National Tsing Hua University, Hsinchu, 30013, Taiwan.; Institute of Biomedical Sciences, Academia Sinica, Taipei, 11529, Taiwan.; Cerebellar Research Center, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin, 64041, Taiwan., Wu SC; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, 30013, Taiwan.; Brain Research Center, National Tsing Hua University, Hsinchu, 30013, Taiwan., Chu SW; Molecular Imaging Center, National Taiwan University, Taipei, 10617, Taiwan.; Department of Physics, National Taiwan University, Taipei, 10617, Taiwan.; Brain Research Center, National Tsing Hua University, Hsinchu, 30013, Taiwan.
Jazyk: angličtina
Zdroj: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Sep 16, pp. e2405293. Date of Electronic Publication: 2024 Sep 16.
DOI: 10.1002/advs.202405293
Abstrakt: 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.
(© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)
Databáze: MEDLINE
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