Accurate detection of low signal-to-noise ratio neuronal calcium transient waves using a matched filter
Accurate detection of low signal-to-noise ratio neuronal calcium transient waves using a matched filter
复制标题
使用匹配滤波器准确检测低信噪比神经元钙瞬态波
DOI：
10.1016/j.jneumeth.2015.10.014
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发表时间：
2015
影响因子：
3
通讯作者：
Z
中科院分区：
文献类型：
--
作者：
Szymanska;A. F.;Kobayashi;C.;Norimoto;H.;Ishikawa;T.;Ikegaya;Y.;Nenadic;Z
研究背景钙离子成像已成为体内外研究神经元回路动力学的基本手段。然而，从光谱数据中识别钙事件(CE)仍然是费力和困难的，特别是在信噪比(SNR)经常低于2的情况下。现有的自动信号检测方法通常在高信噪比下应用，新方法我们开发了一种多单元钙事件(MMICE)检测匹配过滤器，用于从模拟和实验记录的神经元钙成像数据的荧光强度痕迹中提取CES。结果MMICE在SNR≥2的模拟数据上取得了良好的性能，真阳性(TP)率为98.27%(95%可信区间为±1.38%)，在SNR0.2的模拟数据上的假阳性(FP)率为6.59%(±2.56%)。在真实数据上，通过膜片钳记录验证，该方法的TP率为100.00%(±0.00)，FP率为2.04%(±4.10)。与现有方法(S)相比，该方法在低信噪比(SNR≃5-10)下的性能优于已有的方法。结论总的来说，该方法在模拟数据和实验记录的神经元钙成像数据上都表现得非常好。MMiCE探测器准确、可靠，非常适合广泛使用，可在Sites.uci.edu/Aggie或相应作者处免费获得。
BackgroundCalcium imaging has become a fundamental modality for studying neuronal circuit dynamics bothin vitroandin vivo. However, identifying calcium events (CEs) from spectral data remains laborious and difficult, especially since the signal-to-noise ratio (SNR) often falls below 2. Existing automated signal detection methods are generally applied at high SNRs, leaving a large need for an automated algorithm that can accurately extract CEs from fluorescence intensity data of SNR 2 and below.New methodIn this work we develop aMatched filter forMulti-unitCalciumEvent (MMiCE) detection to extract CEs from fluorescence intensity traces of simulated and experimentally recorded neuronal calcium imaging data.ResultsMMiCE reached perfect performance on simulated data with SNR ≥ 2 and a true positive (TP) rate of 98.27% (± 1.38% with a 95% confidence interval), and a false positive(FP) rate of 6.59% (± 2.56%) on simulated data with SNR 0.2. On real data, verified by patch-clamp recording, MMiCE performed with a TP rate of 100.00% (± 0.00) and a FP rate of 2.04% (± 4.10).Comparison with existing method(s)This high level of performance exceeds existing methods at SNRs as low as 0.2, which are well below those used in previous studies (SNR ≃ 5–10).ConclusionOverall, the MMiCE detector performed exceptionally well on both simulated data, and experimentally recorded neuronal calcium imaging data. The MMiCE detector is accurate, reliable, well suited for wide-spread use, and freely available at sites.uci.edu/aggies or from the corresponding author.