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Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging

Author

Listed:
  • Jianian Lin

    (Purdue University
    Purdue University)

  • Zongyue Cheng

    (Purdue University
    Purdue University)

  • Guang Yang

    (Columbia University Irving Medical Center)

  • Meng Cui

    (Purdue University
    Purdue University
    Purdue University)

Abstract

To understand the function and mechanism of biological systems, it is crucial to observe the cellular dynamics at high spatiotemporal resolutions within live animals. The recent advances in genetically encoded function indicators have significantly improved the response rate to a near millisecond time scale. However, the widely employed in vivo imaging systems often lack the temporal solution to capture the fast biological dynamics. To broadly enable the capability of high-speed in vivo deep-tissue imaging, we developed an optical gearbox. As an add-on module, the optical gearbox can convert the common multiphoton imaging systems for versatile multiscale high-throughput imaging applications. In this work, we demonstrate in vivo 2D and 3D function imaging in mammalian brains at frame rates ranging from 50 to 1000 Hz. The optical gearbox’s versatility and compatibility with the widely employed imaging components will be highly valuable to a variety of deep tissue imaging applications.

Suggested Citation

  • Jianian Lin & Zongyue Cheng & Guang Yang & Meng Cui, 2022. "Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34472-6
    DOI: 10.1038/s41467-022-34472-6
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    References listed on IDEAS

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    1. Xiaowei Chen & Ulrich Leischner & Nathalie L. Rochefort & Israel Nelken & Arthur Konnerth, 2011. "Functional mapping of single spines in cortical neurons in vivo," Nature, Nature, vol. 475(7357), pages 501-505, July.
    2. Hod Dana & Anat Marom & Shir Paluch & Roman Dvorkin & Inbar Brosh & Shy Shoham, 2014. "Hybrid multiphoton volumetric functional imaging of large-scale bioengineered neuronal networks," Nature Communications, Nature, vol. 5(1), pages 1-7, September.
    3. Yoav Adam & Jeong J. Kim & Shan Lou & Yongxin Zhao & Michael E. Xie & Daan Brinks & Hao Wu & Mohammed A. Mostajo-Radji & Simon Kheifets & Vicente Parot & Selmaan Chettih & Katherine J. Williams & Benj, 2019. "Voltage imaging and optogenetics reveal behaviour-dependent changes in hippocampal dynamics," Nature, Nature, vol. 569(7756), pages 413-417, May.
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    Cited by:

    1. Yuting Li & Zongyue Cheng & Chenmao Wang & Jianian Lin & Hehai Jiang & Meng Cui, 2024. "Geometric transformation adaptive optics (GTAO) for volumetric deep brain imaging through gradient-index lenses," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Quanyu Zhou & Chaim Glück & Lin Tang & Lukas Glandorf & Jeanne Droux & Mohamad El Amki & Susanne Wegener & Bruno Weber & Daniel Razansky & Zhenyue Chen, 2024. "Cortex-wide transcranial localization microscopy with fluorescently labeled red blood cells," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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