Boxue Tan
Shandong University of Technology
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international congress on image and signal processing | 2009
Wei Liu; Jin Shen; Boxue Tan
In order to realize auto focus during CD-SEM imaging process, the structure of image and scanning model is explained. The principle and the performance of image sharpness evaluation function, such as pixel gray variance function, gradient function, gray entropy function and SMD function, are analyzed in this paper. The experiment shows that all listed methods can evaluate the image sharpness correctly. But gray variance function excels in speed and evaluation effect, thus proving to be the ideal image sharpness function for CD-SEM auto focus. Keywords-Image sharpness, Evaluation function, Auto focus I. INTRODUCTION During the production of integrated circuit, mechanical or human factors may result in defects which can not be repaired, and lead to the sharp decline in yield. Therefore, process detection equipment is the critical technique for integrated circuit yield control. At the present time, the most widely used detection techniques in the production of integrated circuit are optical imaging technology, laser scanning analysis technology, Scanning Electron Microscope (SEM), Atomic Force Microscope (AFM), etc. Since the magnification of SEM can reach 100,000 times, and its resolution is much better than optical microscope, SEM is one powerful facility for observing and studying the microcosm. The integrated circuit detecting device based on SEM is called Critical Dimension-SEM (CD- SEM). CD-SEM is capable of measuring the one and two dimensional nanometer structures, and of continuous and lasting operation on the production line. Therefore it plays the leading role in detection equipment supplies for the semiconductor producers in and beyond 32 nm technology node. During the detection process, CD-SEM first acquires corresponding IC design pattern from the database, then moves the stage to the expected position for detection swiftly and accurately, after which the SEM auto focus process will be started. When the clearest SEM image is acquired, a comparison between SEM image and the design pattern will be proceeded to check for defect or measure relevant parameters, such as Line-Edge Roughness, Line-Width Roughness, line width, contact hole, sidewall angle and curvature radius, etc. The products will be checked for qualification according to whether these parameters could meet the set standards or not
2008 International Conference on Optical Instruments and Technology: MEMS/NEMS Technology and Applications | 2008
Wei Liu; Jin Shen; Boxue Tan
To overcome shortcoming of traditional optical device, a photo system based on scanning electron microscope has been developed. The photo system is composed of built-in compact piezoelectric stage and electron-beam controller. The stage is made up of piezoelectric driver and grating encoder system. It can operate in vacuum and non-magnetic environments. The electron-beam controller includes controlling model, deflection model, image acquisition model and position error feedback model. Scanning field can be calibrated before scanning. The photo system can scan the IC chip which is wider than one scanning field quickly by using this nano-positioning stage. The position error can be compensated by the position error feedback model, so the stitching precision between neighborhood images is improved. Legible IC image is obtained by using this system.
Archive | 2011
Lixiu Ma; Xianming Sun; Jin Shen; Boxue Tan; Yajing Wang; Xia Sun; Jing Jiang; Wengang Chen
Archive | 2012
Boxue Tan; Jin Shen; Wei Liu; Xianming Sun; Lixiu Ma
Archive | 2011
Boxue Tan; Peiyu Wei; Lixiu Ma; Xianming Sun; Lijun Cao
Archive | 2010
Tianze Li; Wei Liu; Hengwei Lu; Lixiu Ma; Jin Shen; Cuixia Sheng; Xianming Sun; Boxue Tan
Archive | 2011
Lixiu Ma; Boxue Tan; Tianze Li; Xianming Sun; Zhihai Jiang; Jing Jiang
Archive | 2012
Wei Liu; Wenling Lu; Jin Shen; Yajing Wang; Boxue Tan; Xianming Sun
Archive | 2011
Boxue Tan; Lixiu Ma; Tianze Li; Xia Sun; Chao Li
international conference on electrical and control engineering | 2010
Lixiu Ma; Boxue Tan; Jin Shen; Wei Liu; Xianming Sun