Analysis of patchclamp recordings: model-free multiscale methods and software
Autor: | Benjamin Eltzner, Axel Munk, Florian Pein |
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Přispěvatelé: | Pein, Florian [0000-0002-7994-9264], Apollo - University of Cambridge Repository |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
PorB Fully automatic Patch-Clamp Techniques Computer science Biophysics Open-channel noise Deconvolution computer.software_genre 01 natural sciences Ion Channels 010104 statistics & probability 03 medical and health sciences Software Low pass filtering Selection (linguistics) Ion channel recordings Hidden Markov models 0101 mathematics Homogeneous and heterogeneous noise Hidden Markov model Complement (set theory) Graphical user interface business.industry Subconductance states General Medicine Model free Markov Chains Low-pass filtering Kinetics 030104 developmental biology Idealization Original Article Data mining business computer Flickering Algorithms |
Zdroj: | European Biophysics Journal |
ISSN: | 1432-1017 |
Popis: | Analysis of patchclamp recordings is often a challenging issue. We give practical guidance how such recordings can be analyzed using the model-free multiscale idealization methodology JSMURF, JULES, and HILDE. We provide an operational manual how to use the accompanying software available as an R-package and as a graphical user interface. This includes selection of the right approach and tuning of parameters. We also discuss advantages and disadvantages of model-free approaches in comparison to hidden Markov model approaches and explain how they complement each other. Supplementary Information The online version contains supplementary material available at 10.1007/s00249-021-01506-8. |
Databáze: | OpenAIRE |
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