Restoration of Two-Photon Ca2+ Imaging Data Through Model Blind Spatiotemporal Filtering

Restoration of Two-Photon Ca2+ Imaging Data Through Model Blind Spatiotemporal Filtering

Two-photon Ca2+ imaging is a leading technique for recording neuronal activities in vivo with cellular or subcellular resolution. However, during experiments, the images often suffer from corruption due to complex noises. Therefore, the analysis of Ca2+ imaging data requires preprocessing steps, suc...

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Bibliographic Details
Main Authors: Liyong Luo, Yuanxu Xu, Junxia Pan, Meng Wang, Jiangheng Guan, Shanshan Liang, Yurong Li, Hongbo Jia, Xiaowei Chen, Xingyi Li, Chunqing Zhang, Xiang Liao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Neuroscience
Subjects:
image restoration
model blind learning
spatio-temporal processing
residual convolutional network
machine learning
two-photon Ca2+ imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.630250/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.630250/full

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