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各向异性核壳胶体的检测与追踪

Detection and tracking of anisotropic core-shell colloids.

作者信息

Roller J, Pfleiderer P, Meijer J-M, Zumbusch A

机构信息

Department of Chemistry, University of Konstanz, Universitätsstrasse 10, 78457 Konstanz, Germany.

出版信息

J Phys Condens Matter. 2018 Oct 3;30(39):395903. doi: 10.1088/1361-648X/aadcbf. Epub 2018 Aug 24.

Abstract

Optical microscopy techniques with three dimensional (3D) resolution are powerful tools for the real-space imaging of the structure and dynamics of colloidal systems. While real-space imaging of spherical particles is well established, the observation of shape anisotropic particles has only recently met a lot of interest. Apart from translation, shape anisotropic particles also possess additional rotational degrees of freedom. In this manuscript, we introduce a novel technique to find the position and the orientation of anisotropic particles in 3D. It is based on an algorithm which is applicable to core-shell particles consisting of a spherical core and a shell with arbitrary shape. We demonstrate the performance of this algorithm using PMMA/PMMA (polymethyl methacrylate) core-shell ellipsoids. The algorithm is tested on artificial images and on experimental data. The correct identification of particle positions with subpixel accuracy and of their orientations with high angular precision in dilute and dense systems is shown. In addition, we developed an advanced particle tracking algorithm that takes both translational and rotational movements of the anisotropic particles into account. We show that our 3D detection and tracking technique is suitable for the accurate and reliable detection of large and dense colloidal systems containing several thousands of particles.

摘要

具有三维(3D)分辨率的光学显微镜技术是用于胶体系统结构和动力学实空间成像的强大工具。虽然球形颗粒的实空间成像已经很成熟,但形状各向异性颗粒的观察直到最近才引起广泛关注。除了平移外,形状各向异性颗粒还具有额外的旋转自由度。在本论文中,我们介绍了一种用于在三维空间中找到各向异性颗粒位置和取向的新技术。它基于一种算法,该算法适用于由球形核和任意形状壳组成的核壳颗粒。我们使用聚甲基丙烯酸甲酯(PMMA)/聚甲基丙烯酸甲酯核壳椭球体展示了该算法的性能。该算法在人工图像和实验数据上进行了测试。结果表明,在稀疏和密集系统中,该算法能够以亚像素精度正确识别颗粒位置,并以高角度精度确定其取向。此外,我们还开发了一种先进的颗粒跟踪算法,该算法同时考虑了各向异性颗粒的平移和旋转运动。我们表明,我们的三维检测和跟踪技术适用于准确可靠地检测包含数千个颗粒的大型密集胶体系统。

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