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Related Experiment Video

Updated: Mar 28, 2026

Light Sheet Microscopy of Fast Cardiac Dynamics in Zebrafish Embryos
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Voltage imaging in zebrafish using high-speed light-sheet microscopy.

Urs L Böhm1, Zeguan Wang2, Takashi Kawashima3

  • 1Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, France.

Neurophotonics
|March 27, 2026
PubMed
Summary
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Voltage imaging in larval zebrafish enables simultaneous recording of neural activity across the entire brain. This technology is crucial for understanding neural dynamics and behavior in small model organisms.

Area of Science:

  • Neuroscience
  • Biophysics
  • Optical Imaging

Background:

  • Voltage imaging offers a non-invasive method for recording neural activity.
  • Small model organisms like larval zebrafish are valuable for studying neural circuits due to their transparency and genetic tractability.
  • Traditional electrophysiology methods like multielectrode insertion are not feasible in these animals.

Purpose of the Study:

  • To review recent technological advancements in voltage imaging for small model animals.
  • To highlight neural circuit discoveries enabled by this technology.
  • To discuss the application of voltage imaging across the entire brain and spinal cord.

Main Methods:

  • High-speed light-sheet microscopy combined with voltage-sensitive dyes.
Keywords:
light-sheet microscopyvoltage imagingzebrafish

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  • In vivo imaging of neuronal electrical activity.
  • Analysis of millisecond-scale population neural dynamics.

    • Main Results:

    • Voltage imaging allows simultaneous recording of spiking activity from numerous neurons.
    • The combination of techniques enables whole-brain and spinal cord imaging.
    • Technological progress has expanded the scope and resolution of voltage imaging.

    Conclusions:

    • Voltage imaging is the primary method for large-scale neural recordings in larval zebrafish.
    • This technology provides unprecedented insights into neural dynamics underlying behavior.
    • Future advancements promise further understanding of complex neural circuits.