论文标题
具有指数修改的高斯人的时间分辨荧光数据快速，便捷的重建
Rapid and facile reconstruction of time-resolved fluorescence data with exponentially modified Gaussians
论文作者
论文摘要
分析物响应在时间分辨的荧光数据中用仪器响应进行了响应。从测量中解码所需的分析物信息通常需要迭代数值卷积。在这里，我们表明，时间可以完全在没有数字卷积的情况下进行分析的重建数据。我们的策略依赖于指数修改的高斯人的总和，该高斯在易于评估的互补误差函数中编码所有卷积。与使用Python实施的数值卷积策略相比，这种新方法在计算上更便宜，并且随着实验数据集中的时间点的数量而言，这种新方法的比例较小。
Analyte response is convoluted with instrument response in time resolved fluorescence data. Decoding the desired analyte information from the measurement usually requires iterative numerical convolutions. Here in, we show that time resolved data can be completely, analytically reconstructed without numerical convolutions. Our strategy relies on a summation of exponentially modified Gaussians which encode all convolutions within easily evaluated complementary error functions. Compared to a numerical convolution strategy implemented with Python, this new method is computationally cheaper and scales less steeply with the number of temporal points in the experimental dataset.
