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

JOURNAL=Frontiers in Neuroinformatics

VOLUME=16

YEAR=2022

URL=https://www.frontiersin.org/articles/10.3389/fninf.2022.851188

DOI=10.3389/fninf.2022.851188

ISSN=1662-5196

Thanks for your attention!

2023/3/12. Weiyi Liu. ChongQing, China.

Mail: weiyi_liu1@outlook.com