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Hybrid multiphoton volumetric functional imaging of large-scale bioengineered neuronal networks

Author

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  • Hod Dana

    (Technion—Israel Istitute of Technology
    Present address: HHMI Janelia Farm Research Campus, Ashburn, Virginia, 20147, USA)

  • Anat Marom

    (Technion—Israel Istitute of Technology
    Technion—Israel Istitute of Technology)

  • Shir Paluch

    (Technion—Israel Istitute of Technology)

  • Roman Dvorkin

    (Faculty of Medicine and Network Biology Research Laboratories, Technion—Israel Istitute of Technology)

  • Inbar Brosh

    (Technion—Israel Istitute of Technology)

  • Shy Shoham

    (Technion—Israel Istitute of Technology)

Abstract

Planar neural networks and interfaces serve as versatile in vitro models of central nervous system physiology, but adaptations of related methods to three dimensions (3D) have met with limited success. Here, we demonstrate for the first time volumetric functional imaging in a bioengineered neural tissue growing in a transparent hydrogel with cortical cellular and synaptic densities, by introducing complementary new developments in nonlinear microscopy and neural tissue engineering. Our system uses a novel hybrid multiphoton microscope design combining a 3D scanning-line temporal-focusing subsystem and a conventional laser-scanning multiphoton microscope to provide functional and structural volumetric imaging capabilities: dense microscopic 3D sampling at tens of volumes per second of structures with mm-scale dimensions containing a network of over 1,000 developing cells with complex spontaneous activity patterns. These developments open new opportunities for large-scale neuronal interfacing and for applications of 3D engineered networks ranging from basic neuroscience to the screening of neuroactive substances.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4997
    DOI: 10.1038/ncomms4997
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    Cited by:

    1. 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.

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