表面诱导效应的布朗运动随机推断
Stochastic Inference of Surface-Induced Effects using Brownian Motion
摘要：
在限制和界面处的布朗运动是一种典型的情况，从基础生物物理学到纳米级工程都会遇到。使用洛伦兹-米氏框架，我们光学记录的热诱导的三维轨迹的单个微粒，在盐水溶液中，在附近的刚性壁，并在表面电荷的存在下。我们构造了随时间变化的位置和位移概率密度函数，并研究了后者的非高斯特性，后者是壁附近受阻迁移率的直接签名。基于这些分布，我们实现了一种新的，强大的和自校准的多重拟合方法，允许热噪声限制的推断扩散系数的空间分辨在纳米尺度，平衡势，和力的femtoNewton分辨率。
英文摘要：
Brownian motion in confinement and at interfaces is a canonical situation, encountered from fundamental biophysics to nanoscale engineering. Using the Lorenz-Mie framework, we optically record the thermally-induced tridimensional trajectories of individual microparticles, within salty aqueous solutions, in the vicinity of a rigid wall, and in the presence of surface charges. We construct the time-dependent position and displacement probability density functions, and study the non-Gaussian character of the latter which is a direct signature of the hindered mobility near the wall. Based on these distributions, we implement a novel, robust and self-calibrated multifitting method, allowing for the thermal-noise-limited inference of diffusion coefficients spatially-resolved at the nanoscale, equilibrium potentials, and forces at the femtoNewton resolution.
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