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Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy
Published on: September 16, 2022
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All-optical bidirectional neural interfacing using hybrid multiphoton holographic optogenetic stimulation
Shir Paluch-Siegler1, Tom Mayblum1, Hod Dana2
1Technion-Israel Institute of Technology , Faculty of Biomedical Engineering, Technion City, Haifa 3200000, Israel.
Neurophotonics
|July 29, 2015
Summary
Researchers developed a new hybrid two-photon temporal focusing holographic optical neural stimulation (2P-TF-HONS) system for precise 3-D control of neural circuits. This advanced tool enables targeted optogenetic excitation and all-optical probing of neuronal networks.
Area of Science:
- Neuroscience
- Biophotonics
- Optical Engineering
Background:
- Advancing neural information processing requires sophisticated 3-D neuroimaging and stimulation techniques.
- Optogenetics and neurophotonic approaches offer noncontact methods for stimulating neural network activity.
- Two-photon holographic optical neural stimulation (2P-HONS) and temporal focusing (TF) enable precise 3-D light patterning.
Purpose of the Study:
- To develop and test a hybrid 2P-TF-HONS stimulation path for bidirectional, cell-targeted 3-D interfacing.
- To integrate this stimulation path into a hybrid multiphoton 3-D imaging system for all-optical probing.
- To advance tools for studying and controlling 3-D neuronal circuits in vitro and in vivo.
Main Methods:
- Introduction and testing of a novel hybrid 2P-TF-HONS stimulation path.
- Integration with a hybrid multiphoton 3-D imaging system.
- Utilizing a regeneratively amplified femtosecond laser source at 905 nm for optogenetic excitation of channelrhodopsin-2 expressing cortical networks.
Main Results:
- Demonstration of accurate parallel optogenetic excitation in 3-D.
- Successful targeted all-optical probing of in vitro cortical networks.
- Validation of the hybrid system's capability for precise neural stimulation and imaging.
Conclusions:
- The developed hybrid 2P-TF-HONS system represents a significant advancement for 3-D neural interfacing.
- This technology facilitates detailed study of neuronal circuits.
- It offers a prospective tool for distributed control over complex 3-D neuronal circuits.

