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Efficient Imaging and Real-time Display of Scanning Ion Conductance Microscopy Based on Block Compressive Sensing
Li GX(李恭新); Li P(李鹏); Wang YC(王越超); Wang WX(王文学); Xi N(席宁); Liu LQ(刘连庆)
作者部门机器人学研究室
会议名称3rd International Conference on Manipulation, Manu­facturing and Measurement on the Nanoscale, 3M-NANO 2013
会议日期August 26-30, 2013
会议地点Suzhou, China
会议录名称3rd International Conference on Manipulation, Manu­facturing and Measurement on the Nanoscale, 3M-NANO 2013
出版者IEEE
出版地NEW YORK
2013
页码114-118
收录类别EI ; CPCI(ISTP)
EI收录号20141217470598
WOS记录号WOS:000350808700024
产权排序1
ISBN号978-1-4799-1210-0
关键词Scanning Ion Conductance Microscopy (Sicm) Compressive Sensing (Cs) Blocks Compressive Sensing
摘要Scanning Ion Conductance Microscopy (SICM) is one kind of Scanning Probe Microscopies (SPMs), and it can be used in mapping topographical features of sample at high -resolution with free contact by measuring the ion current of ultra-micropipette. SICM is widely used in imaging soft samples for many distinct merits, such as high resolution imaging, simple preparation of probe and no harm to sample surface. However, it is undeniable that the scanning speed of SICM is much slower than other SPMs, especially for large scale and high resolution imaging. Fortunately, compressive sensing (CS), which breaks through the Shannon’s sampling theorem for dramatically reducing sample rate, could improve scanning speed tremendously, but it still costs much time in image reconstruction. Therefore block compressive sensing was applied to SICM imaging for reducing the reconstruction time of sparse signals, and it has an anther further and unique application that it can achieve the function of image real-time display. In this paper, a new method of dividing blocks and a new matrix arithmetic operation was proposed to build the block compressive sensing model, and several experiments was taken to verified the superiority of block compressive sensing in reducing imaging time and image real-time display used SICM.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13908
专题机器人学研究室
通讯作者Wang WX(王文学); Liu LQ(刘连庆)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences China, Beijing, 100049, China
3.Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, United States
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Li GX,Li P,Wang YC,et al. Efficient Imaging and Real-time Display of Scanning Ion Conductance Microscopy Based on Block Compressive Sensing[C]. NEW YORK:IEEE,2013:114-118.
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