The code is written in Matlab and C++. The preprint of our paper can be found on bioRxiv and the project website here.
Download the repository via
$ git clone https://github.com/phflot/variational_aligner.git
An ImageJ and Fiji plugin for the alignment of linescans is available here.
The Code can be compiled and installed with the set_path.m file. The file examples/align_noise.m reproduces the alignment of random data from our paper and can be referred to for the usage of the alignment functions. The script examples/linescan_example.m demonstrates the alignment of 2D multichannel linescan data.
If you use this code for your work, please cite
Flotho, P., Thinnes, D., Kuhn, B., Roome, C. J., Vibell, J. F., & Strauss, D. J. (2021). Fast variational alignment of non-flat 1D displacements for applications in neuroimaging. Journal of Neuroscience Methods, 353, 109076.
BibTeX entry
@article{floth21,
title={Fast variational alignment of non-flat 1D displacements for applications in neuroimaging},
author={Flotho, Philipp and Thinnes, David and Kuhn, Bernd and Roome, Christopher J and Vibell, Jonas F and Strauss, Daniel J},
journal = {Journal of Neuroscience Methods},
volume = {353},
pages = {109076},
year = {2021},
issn = {0165-0270},
doi = {https://doi.org/10.1016/j.jneumeth.2021.109076},
url = {https://www.sciencedirect.com/science/article/pii/S016502702100011X},
}
If you use this work in the context of EP and ERP analysis, please additionally cite
D. Thinnes, P. Flotho, F. I. Corona-Strauss, D. J. Strauss and J. F. Vibell, “Compensation of P300 Latency Jitter using fast variational 1D Displacement Estimation” (in preparation), 2020.
BibTeX entry
@article{thinn20,
author = {Thinnes, D. and Flotho, P. and Corona-Strauss, F. I. and Strauss, D. J. and Vibell, J. F.},
title = {Compensation of P300 Latency Jitter using fast variational 1D Displacement Estimation},
journal = {(in preparation)},
year = {2020}
}