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Related Experiment Video

Updated: Jun 1, 2025

In Vivo Two-photon Imaging Of Experience-dependent Molecular Changes In Cortical Neurons

In Vivo Two-photon Imaging Of Experience-dependent Molecular Changes In Cortical Neurons

Published on: January 5, 2013

Window into the Brain: In Vivo Multiphoton Imaging.

Shahrzad Latifi¹, A Courtney DeVries^1,2

¹Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia 26506, United States.

|January 20, 2025

Summary

This summary is machine-generated.

Researchers are advancing brain imaging techniques to understand neuronal networks in behaving animals. Multiphoton microscopy and optical indicators enable long-term, multiscale monitoring of neural activity across brain regions.

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Last Updated: Jun 1, 2025

In Vivo Two-photon Imaging Of Experience-dependent Molecular Changes In Cortical Neurons

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Published on: January 5, 2013

Precise Brain Mapping to Perform Repetitive In Vivo Imaging of Neuro-Immune Dynamics in Mice

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Published on: August 7, 2020

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Area of Science:

Neuroscience
Biophotonics
Optical Imaging

Background:

Understanding neuronal information processing requires long-term monitoring of brain networks in active animals.
Multiscale monitoring from single neurons to large networks is crucial.

Purpose of the Study:

To review state-of-the-art multiphoton imaging modalities.
To discuss optical indicators for in vivo neuronal activity tracking.
To highlight advancements and challenges in brain imaging.

Main Methods:

Multiphoton microscopy techniques.
Development of optical indicators for neuronal activity.
In vivo brain imaging in behaving animals.

Main Results:

Concurrent tracking of brain functions at multiple scales (single neurons to thousands).
Monitoring across connected brain regions.
Integration of advanced biophotonics and optical indicators.

Conclusions:

Novel biophotonics and optical indicators facilitate unprecedented insights into brain function.
Current technologies enable multiscale, long-term monitoring of neural networks.
Ongoing advancements are addressing challenges in in vivo brain imaging.