RT Journal Article
SR Electronic
T1 Automatic sorting system for large calcium imaging data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 215145
DO 10.1101/215145
A1 Takashi Takekawa
A1 Hirotaka Asai
A1 Noriaki Ohkawa
A1 Masanori Nomoto
A1 Reiko Okubo-Suzuki
A1 Khaled Ghandour
A1 Masaaki Sato
A1 Yasunori Hayashi
A1 Kaoru Inokuchi
A1 Tomoki Fukai
YR 2017
UL http://biorxiv.org/content/early/2017/11/09/215145.abstract
AB It has become possible to observe neural activity in freely moving animals via calcium imaging using a microscope, which could not be observed previously. However, it remains difficult to extract the dynamics of nerve cells from the recorded imaging data. In this study, we greatly improved the stability, and robustness of the cell activity estimation method via non-negative matrix decomposition with shrinkage estimation of the baseline. In addition, by improving the initial state of the iterative algorithm using a newly proposed method to extract the shape of the cell via image processing, a solution could be obtained with a small number of iterations. These methods were applied to artificial and real data, and their effectiveness was confirmed.