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An image stitching method to eliminate the distortion of the sidewall in linewidth measurement

机译:用于消除线宽测量中侧壁失真的图像拼接方法

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Nano-scale linewidth measurements are performed in semiconductor manufacturing, the data storage industry, and micro-mechanical engineering. It is well known that the interaction of probe and sample affects the measurement accuracy of linewidth measurements performed with atomic force microscopy (AFM). The emergent ultra-sharp carbon nanotube tips provide a new approach to minimizing the distortion of the measured profile caused by interaction with the finite probe tip. However, there is nearly always a significant tilt angle resulting when the nanotube is attached to an ordinary probe. As a result, we can obtain an accurate sidewall image of only one side of the linewidth sample rather than two sides. This somewhat reduces the advantage of using nanotube probes. To solve this problem, a dual image stitching method based on image registration is proposed in this article. After the first image is obtained, which provides an accurate profile of one side of the measured line, we rotate the sample 180° to obtain the second image, which provides an accurate profile of the other side of the line. We keep the sidewall data for the better side of each image and neglect the data taken for the other side of each image. Then, we combine these better two sides to yield a new image for which the linewidth can be calculated.
机译:纳米尺度线宽测量是在半导体制造中,数据存储行业,和微机械工程进行。它公知的是探针和样品之间的相互作用会影响用原子力显微镜(AFM)进行线宽测量的测量精度。出射超锐利碳纳米管尖端提供一种新的方法,以最小化由于相互作用与有限探头尖端测量的轮廓的失真。然而,当纳米管连接到普通探针时,几乎存在显着的倾斜角。结果,我们可以获得仅宽度样本的一侧的精确侧壁图像,而不是两侧。这有些可以减少使用纳米管探针的优点。为了解决这个问题,在本文中提出了一种基于图像配准的双重图像拼接方法。获得后的第一图像,这提供了测量线的一侧的精确轮廓,我们旋转样品180°以获得所述第二图像,这提供了线的另一侧的精确轮廓。我们保持对每个图像的更好的胎侧的数据,而忽略对各图像的另一侧的数据。然后,我们将这些更好的双侧组合以产生可以计算线宽的新图像。

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