Fares Nicolas, Lavaud Maxime, Zhang Zaicheng, Jha Aditya, Amarouchene Yacine, Salez Thomas
Univ. Bordeaux, CNRS, LOMA, UMR 5798, Talence F-33400, France.
Univ. Bordeaux, CNRS, Bordeaux INP, CBMN, UMR 5248, Pessac F-33600, France.
Proc Natl Acad Sci U S A. 2024 Oct 15;121(42):e2411956121. doi: 10.1073/pnas.2411956121. Epub 2024 Oct 4.
Confined motions in complex environments are ubiquitous in microbiology. These situations invariably involve the intricate coupling between fluid flow, soft boundaries, surface forces, and fluctuations. In the present study, such a coupling is investigated using a method combining holographic microscopy and advanced statistical inference. Specifically, the Brownian motion of soft micrometric oil droplets near rigid walls is quantitatively analyzed. All the key statistical observables are reconstructed with high precision, allowing for nanoscale resolution of local mobilities and femtonewton inference of conservative or nonconservative forces. Strikingly, the analysis reveals the existence of a novel, transient, but large, . The latter might be of crucial importance for microbiological and nanophysical transport, target finding, or chemical reactions in crowded environments, and hence the whole life machinery.
在微生物学中,复杂环境下的受限运动无处不在。这些情况总是涉及流体流动、柔软边界、表面力和涨落之间的复杂耦合。在本研究中,使用全息显微镜和先进统计推断相结合的方法对这种耦合进行了研究。具体而言,对刚性壁附近软微米级油滴的布朗运动进行了定量分析。所有关键的统计可观测量都被高精度重建,从而实现了局部迁移率的纳米级分辨率以及保守或非保守力的飞牛顿推断。引人注目的是,分析揭示了一种新型的、瞬态但很大的……后者可能对拥挤环境中的微生物学和纳米物理运输、目标寻找或化学反应至关重要,进而对整个生命机制至关重要。