English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Fully-automatic multiresolution idealization for filtered ion channel recordings: Flickering event detection.

Pein, F., Tecuapetla-Gómez, I., Schütte, O. M., Steinem, C., & Munk, A. (2018). Fully-automatic multiresolution idealization for filtered ion channel recordings: Flickering event detection. IEEE Transactions on NanoBioscience, 17(3), 300-320. doi:10.1109/TNB.2018.2845126.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0001-AF78-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-AF5D-1
Genre: Journal Article

Files

show Files
hide Files
:
2620165.pdf (Publisher version), 3MB
 
File Permalink:
-
Name:
2620165.pdf
Description:
-
Visibility:
Restricted ( Max Planck Society (every institute); )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Pein, F., Author
Tecuapetla-Gómez, I., Author
Schütte, O. M., Author
Steinem, C., Author
Munk, A.1, Author              
Affiliations:
1Research Group of Statistical Inverse-Problems in Biophysics, MPI for biophysical chemistry, Max Planck Society, ou_1113580              

Content

show
hide
Free keywords: Amplitude reconstruction; deconvolution; dynamic programming; Gramicidin A; inverse problems; m-dependency; model-free; peak detection, planar patch; clamp; statistical multiresolution criterion
 Abstract: We propose a new model-free segmentation method, JULES, which combines recent statistical multiresolution techniques with local deconvolution for idealization of ion channel recordings. The multiresolution criterion takes into account scales down to the sampling rate enabling the detection of flickering events, i.e., events on small temporal scales, even below the filter frequency. For such small scales the deconvolution step allows for a precise determination of dwell times and, in particular, of amplitude levels, a task which is not possible with common thresholding methods. This is confirmed theoretically and in a comprehensive simulation study. In addition, JULES can be applied as a preprocessing method for a refined hidden Markov analysis. Our new methodolodgy allows us to show that gramicidin A flickering events have the same amplitude as the slow gating events. JULES is available as an R function jules in the package clampSeg.

Details

show
hide
Language(s): eng - English
 Dates: 2018-06-072018-07-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1109/TNB.2018.2845126
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE Transactions on NanoBioscience
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 17 (3) Sequence Number: - Start / End Page: 300 - 320 Identifier: -