单分子/粒子轨道非均匀动力学的多尺度小波诊断
Diagnosing Heterogeneous Dynamics in Single Molecule/Particle Trajectories with Multiscale Wavelets
摘要：
我们描述了一个简单的自动化方法来提取和量化瞬态异构动态变化从单分子/粒子跟踪实验中产生的大数据集。该方法基于小波变换，对原始数据进行局部匹配。这是使用统计自适应通用阈值，其优点是避免一个单一的任意阈值，可能会隐藏在人群中的个体差异。如何实现这种多尺度方法的描述，专注于局部受限扩散分离的瞬态运输期间或跳跃事件，3个具体的例子：在细胞生物学，生物技术和玻璃胶体动力学。这种计算效率高的方法可以在台式个人电脑上在一小时内分析数亿个数据点。
英文摘要：
We describe a simple automated method to extract and quantify transient heterogeneous dynamical changes from large datasets generated in single molecule/particle tracking experiments. Based on wavelet transform, the method transforms raw data to locally match dynamics of interest. This is accomplished using statistically adaptive universal thresholding, whose advantage is to avoid a single arbitrary threshold that might conceal individual variability across populations. How to implement this multiscale method is described, focusing on local confined diffusion separated by transient transport periods or hopping events, with 3 specific examples: in cell biology, biotechnology, and glassy colloid dynamics. This computationally-efficient method can run routinely on hundreds of millions of data points analyzed within an hour on a desktop personal computer.
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