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Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States

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Software for non-parametric image registration of 2-photon imaging data.

Philipp Flotho^1,2,3, Shinobu Nomura⁴, Bernd Kuhn⁴

¹Systems Neuroscience and Neurotechnology Unit, Neurocenter, Faculty of Medicine, Saarland University & School of Engineering, htw saar, Germany.

Journal of Biophotonics

|March 15, 2022

Summary

We developed Flow-Registration, a new method to correct movement artifacts in 2-photon microscopy images. This technique improves alignment and reconstruction of neuronal activity data, even with low signal-to-noise ratios.

Keywords:

ImageJ/FIJI plugin MATLAB toolbox confocal microscopy image registration movement correction optical flow optical imaging two-photon microscopy

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Area of Science:

Neuroscience
Computer Vision
Biomedical Imaging

Background:

Functional 2-photon microscopy is crucial for observing neuronal activity.
Image sequences often suffer from non-rigid movement artifacts, necessitating accurate correction.
Existing optical flow (OF) methods are not optimized for 2-photon neuroimaging data statistics.

Purpose of the Study:

To present Flow-Registration, a novel motion compensation method for 2-photon microscopy data.
To demonstrate superior performance compared to existing alignment tools.
To enable alignment and reconstruction of low signal-to-noise ratio imaging data and complex displacements.

Main Methods:

Developed a motion compensation method, Flow-Registration, integrating advances in variational optical flow estimation.
Adapted the method to the specific statistical properties of 2-photon neuroimaging data.
Ensured compatibility with existing 2-photon imaging software and provided ImageJ/FIJI and MATLAB versions.

Main Results:

Flow-Registration outperforms previous alignment tools in motion correction accuracy.
The method successfully aligns and reconstructs low signal-to-noise ratio 2-photon imaging data.
It effectively compensates for high-divergence displacements, such as those from local drug injections.

Conclusions:

Flow-Registration offers a robust solution for correcting movement artifacts in 2-photon microscopy.
The method enhances the quality and reliability of neuronal activity imaging.
Its availability as user-friendly plugins/toolboxes facilitates broader adoption in neuroscience research.