Detecting ionic currents in single channels using wavelet analysis, part I: zero mean Gaussian noise

Amir Averbuch*, R. S. Eisenberg, M. Israeli, Z. Schuss

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The patch clamp technique opened a new field in biological research and shed light on membrane permittivity for ionic currents. The key element in patch clamp measurements is the detection of the ionic currents in a single biological channel. It is known that the channels open and close at random times, thus modulating the ionic currents. The measured current switches between two levels corresponding to the open and close states of the channel. Determining the statistics of the open and closed periods is of crucial importance to the experimenter, because it reflects the response of channel protein to drugs and other factors. The detected signal is strongly corrupted by instrumentation and other noises, rendering the detection of the opening and closing moments extremely difficult. We describe the use of the wavelet transform and its associated multiresolution (multiscale) analysis to detect the currents through single ionic channels corrupted with noise.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Pages76-90
Number of pages15
ISBN (Print)0819416274
StatePublished - 1994
EventWavelet Applications in Signal and Image Processing II - San Diego, CA, USA
Duration: 27 Jul 199429 Jul 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2303
ISSN (Print)0277-786X

Conference

ConferenceWavelet Applications in Signal and Image Processing II
CitySan Diego, CA, USA
Period27/07/9429/07/94

Fingerprint

Dive into the research topics of 'Detecting ionic currents in single channels using wavelet analysis, part I: zero mean Gaussian noise'. Together they form a unique fingerprint.

Cite this