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

Yin-Tzu Hsieh, Kai-Chun Jhan, Jye-Chang Lee, Guan-Jie Huang, Chang-Ling Chung, Wun-Ci Chen, Ting-Chen Chang, Bi-Chang Chen, Ming-Kai Pan, Shun-Chi Wu, …
Advanced Science, 卷.11(41)
06/11/2024
PMID: 39283040
Web of Science ID: WOS:001313811300001

摘要

Purkinje cells;deep‐learning noise reduction;high‐speed volumetric image;neural networks;two‐photon microscopy

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.

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url
https://doi.org/10.1002/advs.202405293檢視
已出版(紀錄版本) 開放

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InCites亮點

本研究成果之相關指標(擷取自 InCites Benchmarking & Analytics)

合作類型
機構合作
引用書目主題
2 Chemistry
2.259 Optical Chemistry
2.259.815 Fluorescence Microscopy
Web Of Science研究領域
Chemistry, Multidisciplinary
Materials Science, Multidisciplinary
Nanoscience & Nanotechnology
ESI研究領域
Physics

聯合國永續發展目標(SDGs)

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#3 Good Health and Well-Being

來源:來自InCites的SDGs

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