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

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.

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2021.09.28.462125v1.full.pdf (Preprint), 21MB
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2021.09.28.462125v1.full.pdf
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Flores Valle, Andres1, 2, Author                 
Seelig, Johannes D.1, Author                 
Affiliations:
1Max Planck Research Group Neural Circuits, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society, ou_3361780              
2International Max Planck Research School (IMPRS) for Brain and Behavior, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society, ou_3481421              

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 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.

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Language(s): eng - English
 Dates: 2021-09
 Publication Status: Issued
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 Rev. Type: No review
 Identifiers: DOI: 10.1101/2021.09.28.462125
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Title: bioRxiv : the preprint server for biology
  Abbreviation : bioRxiv
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: 462125 Start / End Page: - Identifier: ZDB: 2766415-6
CoNE: https://pure.mpg.de/cone/journals/resource/2766415-6