English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Preprint

Axial motion estimation and correction for simultaneous multi-plane two-photon calcium imaging

MPS-Authors
/persons/resource/persons258812

Flores Valle,  Andres       
Max Planck Research Group Neural Circuits, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;
International Max Planck Research School (IMPRS) for Brain and Behavior, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

/persons/resource/persons188171

Seelig,  Johannes D.       
Max Planck Research Group Neural Circuits, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
Supplementary Material (public)
There is no public supplementary material available
Citation

Flores Valle, A., & Seelig, J. D. (2021). Axial motion estimation and correction for simultaneous multi-plane two-photon calcium imaging. bioRxiv: the preprint server for biology, 462125.


Cite as: https://hdl.handle.net/21.11116/0000-000A-A5F4-8
Abstract
Two-photon imaging in behaving animals is typically accompanied by brain motion. For functional imaging experiments, for example with genetically encoded calcium indicators, such brain motion induces changes in fluorescence intensity. These motion related intensity changes or motion artifacts cannot easily be separated from neural activity induced signals. While lateral motion within the focal plane can be corrected by computationally aligning images, axial motion, out of the focal plane, cannot easily be corrected.

Here, we develop an algorithm for axial motion correction for non-ratiometric calcium indicators taking advantage of simultaneous multi-plane imaging. Using at least two simultaneously recorded focal planes, the algorithm separates motion related and neural activity induced changes in fluorescence intensity. The developed motion correction approach allows axial motion estimation and correction at high frame rates for isolated structures in the imaging volume in vivo, such as sparse expression patterns in the fruit fly brain.