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Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy
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Three-dimensional scanless holographic optogenetics with temporal focusing (3D-SHOT)
Nicolas C Pégard1,2, Alan R Mardinly1, Ian Antón Oldenburg1
1Department of Molecular and Cell Biology, 205 Life Science Addition, University of California, Berkeley, CA, 94720, USA.
Nature Communications
|November 2, 2017
Summary
Researchers developed three-dimensional scanless holographic optogenetics with temporal focusing (3D-SHOT) for precise, simultaneous neural activation. This method enables cellular-resolution manipulation of neural circuits in real-time.
Area of Science:
- Neuroscience
- Optogenetics
- Biomedical Engineering
Background:
- Current optical methods for neural manipulation lack cellular resolution, millisecond precision, and 3D targeting capabilities.
- Existing techniques for targeting individual neurons do not meet the advanced requirements for comprehensive neuroscience research.
Purpose of the Study:
- To introduce a novel multiphoton photo-excitation technique for precise, simultaneous activation of multiple neurons in three dimensions.
- To overcome the limitations of existing methods in achieving cellular-level control over neural activity within complex biological systems.
Main Methods:
- Developed three-dimensional scanless holographic optogenetics with temporal focusing (3D-SHOT).
- Utilized point-cloud holography to project temporally focused discs matching neuron dimensions.
- Applied the technique to cultured cells, brain slices, and in vivo experiments in mice.
Main Results:
- Demonstrated precise, simultaneous photo-activation of arbitrary neuron sets within the microscope's addressable volume.
- Achieved single-neuron spatial resolution even when targeting randomly distributed neurons in 3D.
- Validated the technique's efficacy across various biological preparations, including living animal models.
Conclusions:
- 3D-SHOT offers a powerful new tool for neuroscience research, enabling precise control over neural circuits.
- This technique facilitates real-time, cellular-resolution mapping and manipulation of neural networks.
- Opens new possibilities for understanding and interfacing with the brain at an unprecedented level of detail.

