Aharoni Tal, Shoham Shy
Technion-Israel Institute of Technology, Faculty of Biomedical Engineering, Technion City, Haifa, Israel.
Technion-Israel Institute of Technology, Technion Autonomous Systems Program (TASP), Technion City, Haifa, Israel.
Neurophotonics. 2018 Apr;5(2):025004. doi: 10.1117/1.NPh.5.2.025004. Epub 2018 Mar 15.
Holographic speckle is a major impediment to computer-generated holographic (CGH) projections in applications ranging from display, optical tweezers, and machining to optogenetic neural control. We present an iterative phase retrieval algorithm that allows the projection of amplitude-controlled speckle-free one-dimensional patterns with a high degree of pattern uniformity. The algorithm, termed the weighted Gerchberg-Saxton with phase-control (GSW-PC), is shown to have the ability to simultaneously control both the phase and amplitude of projected patterns with high diffraction efficiencies. Furthermore, we show that the framework can address the challenge of projecting volumetric phase and amplitude-controlled patterns, by incorporating GSW-PC with the angular spectrum method. The algorithms' performance is numerically and experimentally tested, and further compared with conventional and modern CGH techniques.
全息散斑是计算机生成全息(CGH)投影在从显示、光镊、加工到光遗传学神经控制等应用中的主要障碍。我们提出了一种迭代相位恢复算法,该算法能够以高度的图案均匀性投影幅度可控的无散斑一维图案。该算法被称为具有相位控制的加权格尔奇贝格 - 萨克斯顿算法(GSW - PC),它被证明有能力以高衍射效率同时控制投影图案的相位和幅度。此外,我们表明,通过将GSW - PC与角谱方法相结合,该框架可以解决投影体相位和幅度可控图案的挑战。对算法的性能进行了数值和实验测试,并与传统和现代的CGH技术进行了进一步比较。