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Wavelet Transform-Based De-Noising for Two-Photon Imaging of Synaptic Ca 2+ Transients

Tigaret, Cezar M. ORCID:, Tsaneva-Atanasova, Krasimira, Collingridge, Graham L. and Mellor, Jack R. 2013. Wavelet Transform-Based De-Noising for Two-Photon Imaging of Synaptic Ca 2+ Transients. Biophysical Journal 104 (5) , pp. 1006-1017. 10.1016/j.bpj.2013.01.015

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Postsynaptic Ca2+ 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 Ca2+-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 Ca2+ fluorescence transients evoked by single synaptic events under physiological conditions. Using simulated Ca2+ transients with defined noise levels, we analyzed the ability of the PURE-LET algorithm to retrieve the underlying signal. Fitting single Ca2+ transients with an exponential rise and decay model revealed a distortion of τrise but improved accuracy and reliability of τdecay 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 Ca2+ 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 Ca2+ transients using PURE-LET enhances detection and characterization of Ca2+ responses at central excitatory synapses.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Neuroscience and Mental Health Research Institute (NMHRI)
Publisher: Biophysical Society
ISSN: 0006-3495
Date of First Compliant Deposit: 14 January 2020
Date of Acceptance: 17 January 2013
Last Modified: 05 May 2023 13:07

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