Dexterous holographic trapping of dark-seeking particles with Zernike holograms
Dexterous holographic trapping of dark-seeking particles with Zernike holograms
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DOI：
10.1364/oe.458544
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发表时间：
2022-06-20
期刊：
影响因子：
3.8
通讯作者：
Grier, David G.
中科院分区：
文献类型：
--
作者：
Abacousnac, Jatin;Grier, David G.
全息投影光阱的强度分布可以根据其要捕获的粒子的物理性质进行调整。动态优化对于操纵被常规光镊排斥的寻暗粒子是特别期望的，并且当寻暗粒子与寻光粒子共存于同一系统中时更是如此。我们解决了需要灵巧的操纵黑暗寻求粒子通过引入一类“黑暗”的陷阱从两个不同的腰直径的相位高斯模式的叠加创建。高斯差分（DoG）陷阱中的干涉产生了一个完全被光包围的黑暗中心核，因此可以在三维空间中严格捕获寻暗粒子。DoG陷阱可以与传统的光镊和其他类型的陷阱组合，用于异质样品。由于DoG光阱的理想全息图是纯实值的，本文介绍了一种基于Zernike相衬原理的纯相位衍射光学元件投影实值全息图的一般方法。我们通过对分散在流体介质中的高折射率、低折射率和吸收性胶体颗粒的实验研究，展示了DoG陷阱（和Zernike全息图）的能力。(C)2022 Optica出版集团根据Optica开放获取出版协议的条款
The intensity distribution of a holographically-projected optical trap can be tailored to the physical properties of the particles it is intended to trap. Dynamic optimization is especially desirable for manipulating dark-seeking particles that are repelled by conventional optical tweezers, and even more so when dark-seeking particles coexist in the same system as light-seeking particles. We address the need for dexterous manipulation of dark-seeking particles by introducing a class of "dark" traps created from the superposition of two out-of-phase Gaussian modes with different waist diameters. Interference in the difference-of-Gaussians (DoG) trap creates a dark central core that is completely surrounded by light and therefore can trap dark-seeking particles rigidly in three dimensions. DoG traps can be combined with conventional optical tweezers and other types of traps for use in heterogeneous samples. The ideal hologram for a DoG trap being purely real-valued, we introduce a general method based on the Zernike phase-contrast principle to project real-valued holograms with the phase-only diffractive optical elements used in standard holographic optical trapping systems. We demonstrate the capabilities of DoG traps (and Zernike holograms) through experimental studies on high-index, low-index and absorbing colloidal particles dispersed in fluid media. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement