Bakalis Evangelos, Parent Lucas R, Vratsanos Maria, Park Chiwoo, Gianneschi Nathan C, Zerbetto Francesco
Dipartimento di Chimica "G. Ciamician", Universita di Bologna, V. F. Selmi 2, 40126 Bologna, Italy.
Innovation Partnership Building, The University of Connecticut, Storrs, Connecticut 06269, United States.
J Phys Chem C Nanomater Interfaces. 2020 Jul 9;124(27):14881-14890. doi: 10.1021/acs.jpcc.0c03203. Epub 2020 Jun 10.
Liquid-cell transmission electron microscopy (LCTEM) is a powerful in situ videography technique that has the potential to allow us to observe solution-phase dynamic processes at the nanoscale, including imaging the diffusion and interaction of nanoparticles. Artefactual effects imposed by the irradiated and confined liquid-cell vessel alter the system from normal "bulk-like" behavior in multiple ways. These artefactual LCTEM effects will leave their fingerprints in the motion behavior of the diffusing objects, which can be revealed through careful analysis of the object-motion trajectories. Improper treatment of the motion data can lead to erroneous descriptions of the LCTEM system's conditions. Here, we advance our anomalous diffusion object-motion analysis (ADOMA) method to extract a detailed description of the liquid-cell system conditions during any LCTEM experiment by applying a multistep analysis of the data and treating the / vectors of motion independently and in correlation with each other and with the object's orientation/angle.
液池透射电子显微镜（LCTEM）是一种强大的原位摄像技术，有潜力让我们在纳米尺度观察溶液相动态过程，包括对纳米颗粒的扩散和相互作用进行成像。受辐照且受限的液池容器所产生的人为效应会以多种方式使系统偏离正常的“类本体”行为。这些LCTEM人为效应会在扩散物体的运动行为中留下痕迹，通过仔细分析物体运动轨迹可以揭示这些痕迹。对运动数据处理不当会导致对LCTEM系统条件的错误描述。在此，我们改进了我们的反常扩散物体运动分析（ADOMA）方法，通过对数据进行多步分析，并独立且相互关联地处理运动矢量以及与物体方向/角度的关系，来提取任何LCTEM实验期间液池系统条件的详细描述。
