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Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
Published on: September 1, 2022
All optical interface for parallel, remote, and spatiotemporal control of neuronal activity
Sheng Wang1, Stephanie Szobota, Yuan Wang
1NSF Nanoscale Science and Engineering Center (NSEC), University of California, Berkeley, CA 94720-1740, USA.
Nano Letters
|November 24, 2007
Summary
Researchers developed an all-optical system for precise control and detection of neural activity. This technology enables simultaneous spatiotemporal manipulation of numerous neurons, advancing neuroscience research.
Area of Science:
- Neuroscience
- Biotechnology
- Optical Engineering
Background:
- Understanding complex neural networks is hindered by the lack of tools for simultaneous spatiotemporal control and detection of neuronal activity.
- Current methods often lack the precision and scale required for parallel manipulation of large neuronal populations.
Purpose of the Study:
- To develop and demonstrate an all-optical system for simultaneous spatiotemporal control and detection of activity in a large number of neurons.
- To overcome the technical barrier in neuroscience research related to precise neuronal manipulation.
Main Methods:
- Utilized a digital micromirror spatiotemporal light modulator to deliver complex optical stimuli.
- Employed light-activated ionotropic glutamate receptors (LiGluR) expressed in cells.
- Used calcium dye labeling for fluorescent reporting of neuronal activity.
Main Results:
- Achieved reliable and accurate spatiotemporal stimulation of HEK293 cells and cultured rat hippocampal neurons.
- Demonstrated parallel and selective control and detection of neuronal activity.
- Validated the system's capability for precise optical stimulation.
Conclusions:
- The developed all-optical system provides a novel solution for simultaneous spatiotemporal control and detection of neuronal activity.
- This technique is adaptable for in vivo applications, potentially serving as an optical interface for complex neural circuits.
- Offers a significant advancement for studying and interfacing with neural networks.

