dc.contributor.author | Tigaret, CM | |
dc.contributor.author | Tsaneva-Atanasova, K | |
dc.contributor.author | Collingridge, GL | |
dc.contributor.author | Mellor, JR | |
dc.date.accessioned | 2016-04-21T12:50:41Z | |
dc.date.issued | 2013-03-05 | |
dc.description.abstract | Postsynaptic 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.sponsorship | C.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.citation | Vol. 104, Iss. 5, pp. 1006 - 1017 | en_GB |
dc.identifier.doi | 10.1016/j.bpj.2013.01.015 | |
dc.identifier.other | S0006-3495(13)00085-4 | |
dc.identifier.uri | http://hdl.handle.net/10871/21177 | |
dc.language.iso | en | en_GB |
dc.publisher | Biophysical Society | en_GB |
dc.relation.url | http://www.ncbi.nlm.nih.gov/pubmed/23473483 | en_GB |
dc.relation.url | http://www.sciencedirect.com/science/article/pii/S0006349513000854 | en_GB |
dc.rights | This is the final version of the article. Available from Biophysical Society via the DOI in this record. | en_GB |
dc.subject | Algorithms | en_GB |
dc.subject | Animals | en_GB |
dc.subject | Calcium | en_GB |
dc.subject | Calcium Signaling | en_GB |
dc.subject | Excitatory Postsynaptic Potentials | en_GB |
dc.subject | Hippocampus | en_GB |
dc.subject | Male | en_GB |
dc.subject | Microscopy, Fluorescence, Multiphoton | en_GB |
dc.subject | Neurons | en_GB |
dc.subject | Rats | en_GB |
dc.subject | Rats, Wistar | en_GB |
dc.subject | Signal-To-Noise Ratio | en_GB |
dc.subject | Synapses | en_GB |
dc.subject | Wavelet Analysis | en_GB |
dc.title | Wavelet transform-based de-noising for two-photon imaging of synaptic Ca2+ transients. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2016-04-21T12:50:41Z | |
dc.identifier.issn | 0006-3495 | |
exeter.place-of-publication | United States | |
dc.description | Published | en_GB |
dc.description | Journal Article | en_GB |
dc.description | Research Support, Non-U.S. Gov't | en_GB |
dc.description | This is an open access article. | en_GB |
dc.identifier.eissn | 1542-0086 | |
dc.identifier.journal | Biophysical Journal | en_GB |