期刊
JOURNAL OF BIOPHOTONICS
卷 -, 期 -, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202100330
关键词
confocal microscopy; image registration; ImageJ; FIJI plugin; MATLAB toolbox; movement correction; optical flow; optical imaging; two-photon microscopy
资金
- Japan Society for the Promotion of Science (JSPS) [SP19305]
- Projekt DEAL
This study presents a new motion compensation method called Flow-Registration, which is able to align and reconstruct 2-photon imaging data. The method outperforms previous alignment tools and is suitable for low signal-to-noise ratio data and high-divergence displacements during local drug injections.
Functional 2-photon microscopy is a key technology for imaging neuronal activity. The recorded image sequences, however, can contain non-rigid movement artifacts which requires high-accuracy movement correction. Variational optical flow (OF) estimation is a group of methods for motion analysis with established performance in many computer vision areas. However, it has yet to be adapted to the statistics of 2-photon neuroimaging data. In this work, we present the motion compensation method Flow-Registration that outperforms previous alignment tools and allows to align and reconstruct even low signal-to-noise ratio 2-photon imaging data and is able to compensate high-divergence displacements during local drug injections. The method is based on statistics of such data and integrates previous advances in variational OF estimation. Our method is available as an easy-to-use ImageJ/FIJI plugin as well as a MATLAB toolbox with modular, object oriented file IO, native multi-channel support and compatibility with existing 2-photon imaging suites.
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