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CRASH2p: Closed-loop Two Photon Imaging in a Freely Moving Animal
Paul McNulty1, Rui Wu1, Akihiro Yamaguchi1
1Department of Physics,New York University, New York, USA.
Biorxiv : the Preprint Server for Biology
|June 3, 2024
Summary
We developed a new microscope (CRASH2p) to accurately measure neural activity in freely moving animals by correcting for brain motion. This technique reveals new insights into neural activity and behavior.
Area of Science:
- Neuroscience
- Biophysics
- Microscopy
Background:
- Direct measurement of neural activity in freely moving animals is crucial for understanding brain function.
- Genetically encoded calcium indicators are widely used but susceptible to motion artifacts.
- Existing two-photon microscopy methods require stable brain anchoring, limiting applications in unrestrained subjects.
Purpose of the Study:
- To develop a novel two-photon microscopy system for real-time 3D motion correction in freely moving animals.
- To enable quantitative functional imaging without the need for implanted reference markers.
- To uncover neural correlates of behavior in unrestrained organisms.
Main Methods:
- Development of a closed-loop resonant axial-scanning high-speed two-photon (CRASH2p) microscope.
- Implementation of a novel scanning strategy and a multi-stage registration pipeline for motion correction.
- Volumetric, ratiometrically corrected functional imaging in the central nervous system (CNS) of *Drosophila* larvae.
Main Results:
- The CRASH2p microscope successfully performed real-time 3D motion correction in unrestrained *Drosophila* larvae.
- Quantitative functional imaging was achieved despite significant brain motion.
- Previously unknown neural activity patterns associated with specific behaviors were identified.
Conclusions:
- The CRASH2p microscope overcomes motion artifacts in two-photon imaging of neural activity.
- This technology enables unprecedented quantitative analysis of neural dynamics in behaving animals.
- The findings open new avenues for studying brain-behavior relationships in naturalistic settings.

