Show simple item record

dc.contributor.authorTigaret, CM
dc.contributor.authorTsaneva-Atanasova, K
dc.contributor.authorCollingridge, GL
dc.contributor.authorMellor, JR
dc.date.accessioned2016-04-21T12:50:41Z
dc.date.issued2013-03-05
dc.description.abstractPostsynaptic Ca(2+) transients triggered by neurotransmission at excitatory synapses are a key signaling step for the induction of synaptic plasticity and are typically recorded in tissue slices using two-photon fluorescence imaging with Ca(2+)-sensitive dyes. The signals generated are small with very low peak signal/noise ratios (pSNRs) that make detailed analysis problematic. Here, we implement a wavelet-based de-noising algorithm (PURE-LET) to enhance signal/noise ratio for Ca(2+) fluorescence transients evoked by single synaptic events under physiological conditions. Using simulated Ca(2+) transients with defined noise levels, we analyzed the ability of the PURE-LET algorithm to retrieve the underlying signal. Fitting single Ca(2+) transients with an exponential rise and decay model revealed a distortion of τ(rise) but improved accuracy and reliability of τ(decay) and peak amplitude after PURE-LET de-noising compared to raw signals. The PURE-LET de-noising algorithm also provided a ∼30-dB gain in pSNR compared to ∼16-dB pSNR gain after an optimized binomial filter. The higher pSNR provided by PURE-LET de-noising increased discrimination accuracy between successes and failures of synaptic transmission as measured by the occurrence of synaptic Ca(2+) transients by ∼20% relative to an optimized binomial filter. Furthermore, in comparison to binomial filter, no optimization of PURE-LET de-noising was required for reducing arbitrary bias. In conclusion, the de-noising of fluorescent Ca(2+) transients using PURE-LET enhances detection and characterization of Ca(2+) responses at central excitatory synapses.en_GB
dc.description.sponsorshipC.M.T. and J.R.M. were supported by the Wellcome Trust, and K.T.-A. was supported by grant No. EP/I018638/1 from the Engineering and Physical Sciences Research Council.en_GB
dc.identifier.citationVol. 104, Iss. 5, pp. 1006 - 1017en_GB
dc.identifier.doi10.1016/j.bpj.2013.01.015
dc.identifier.otherS0006-3495(13)00085-4
dc.identifier.urihttp://hdl.handle.net/10871/21177
dc.language.isoenen_GB
dc.publisherBiophysical Societyen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/23473483en_GB
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0006349513000854en_GB
dc.rightsThis is the final version of the article. Available from Biophysical Society via the DOI in this record.en_GB
dc.subjectAlgorithmsen_GB
dc.subjectAnimalsen_GB
dc.subjectCalciumen_GB
dc.subjectCalcium Signalingen_GB
dc.subjectExcitatory Postsynaptic Potentialsen_GB
dc.subjectHippocampusen_GB
dc.subjectMaleen_GB
dc.subjectMicroscopy, Fluorescence, Multiphotonen_GB
dc.subjectNeuronsen_GB
dc.subjectRatsen_GB
dc.subjectRats, Wistaren_GB
dc.subjectSignal-To-Noise Ratioen_GB
dc.subjectSynapsesen_GB
dc.subjectWavelet Analysisen_GB
dc.titleWavelet transform-based de-noising for two-photon imaging of synaptic Ca2+ transients.en_GB
dc.typeArticleen_GB
dc.date.available2016-04-21T12:50:41Z
dc.identifier.issn0006-3495
exeter.place-of-publicationUnited States
dc.descriptionPublisheden_GB
dc.descriptionJournal Articleen_GB
dc.descriptionResearch Support, Non-U.S. Gov'ten_GB
dc.descriptionThis is an open access article.en_GB
dc.identifier.eissn1542-0086
dc.identifier.journalBiophysical Journalen_GB


Files in this item

This item appears in the following Collection(s)

Show simple item record