A Fast Image Feature Extraction and Registration (FIFER) method for motion correction of two-photon Ca2+ imaging data. FIFER is a GUI software which can adapt parameter for each data.
Python 100.00%
fifer's Introduction
FIFER
A Fast Image Feature Extraction and Registration (FIFER) method for motion correction of two-photon Ca2+ imaging data. FIFER is a GUI software which can adapt parameter for each data.
This edition is a dynamic library warpped by python function, which has no parameter (but need to select a ROI in the GUI surface).
Usage of this library
1. install two python lib
1.1 opencv-python
1.2 numpy
2. import func.py
3. done (func.motioncorrection)
Notice: Further research is coming soon with a complete GUI toolbox (including various algorithms), which is about registration for calcuim imaging data of different days (cross-session)
For other details: see master branch or read my manuscript.
If you like this tool, please cite the manuscript below.
AUTHOR=Liu Weiyi, Pan Junxia, Xu Yuanxu, Wang Meng, Jia Hongbo, Zhang Kuan, Chen Xiaowei, Li Xingyi, Liao Xiang
TITLE=Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice