Heterogeneous Idealization of Ion Channel Recordings – Open Channel Noise

@article{Pein2021HeterogeneousIO,
  title={Heterogeneous Idealization of Ion Channel Recordings – Open Channel Noise},
  author={F. Pein and A. Bartsch and C. Steinem and A. Munk},
  journal={IEEE Transactions on NanoBioscience},
  year={2021},
  volume={20},
  pages={57-78}
}
  • F. Pein, A. Bartsch, +1 author A. Munk
  • Published 2021
  • Computer Science, Mathematics, Medicine
  • IEEE Transactions on NanoBioscience
We propose a new model-free segmentation method for idealizing ion channel recordings. This method is designed to deal with heterogeneity of measurement errors. This in particular applies to open channel noise which, in general, is particularly difficult to cope with for model-free approaches. Our methodology is able to deal with lowpass filtered data which provides a further computational challenge. To this end we propose a multiresolution testing approach, combined with local deconvolution to… Expand
1 Citations

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