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ALGORITHMS FOR ON-LINE MONITORING OF COMPONENTS IN AN OPTICAL TWEEZERS-BASED ASSEMBLY CELL

机译:基于光学镊子的装配单元中组件在线监测的算法

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摘要

Optical tweezers have emerged as a powerful tool for micro and nanomanipulation. Using optical tweezers to perform automated assembly requires on-line monitoring of components in the assembly workspace. This paper presents algorithms for estimating positions and orientations of microscale and nanoscale components in the 3-Dimensional assembly workspace. Algorithms presented in this paper use images obtained by optical section microscopy. The images are first segmented to locate areas of interest and then image gradient information from the areas of interest is used to generate probable locations and orientations of components in the XY-plane. Finally, signature curves are computed and utilized to obtain component locations and orientations in 3-D space. We have tested these algorithms with silica micro-spheres as well as metallic nanowires. We believe that the algorithms described in this paper will provide the foundation for realizing automated assembly operations in optical tweezers-based assembly cells.
机译:光学镊子已成为用于微纳米加工的强大工具。使用光镊执行自动组装需要对组装工作区中的组件进行在线监视。本文提出了用于估计三维装配工作区中的微米级和纳米级组件的位置和方向的算法。本文提出的算法使用通过光学切片显微镜获得的图像。首先将图像分割以定位感兴趣的区域,然后将来自感兴趣区域的图像梯度信息用于生成XY平面中组件的可能位置和方向。最终,签名曲线被计算并用于获得3-D空间中的组件位置和方向。我们已经使用二氧化硅微球以及金属纳米线测试了这些算法。我们相信,本文描述的算法将为在基于光镊的装配单元中实现自动化装配操作提供基础。

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