Efficient Imaging and Real-Time Display of Scanning Ion Conductance Microscopy Based on Block Compressive Sensing
作者: 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)
关键词: Image reconstruction
刊名: International Journal of Optomechatronics
卷号: 8, 3, 218-227
摘要: Scanning Ion Conductance Microscopy (SICM) is one kind of Scanning Probe Microscopies (SPMs), and it is widely used in imaging soft samples for many distinctive advantages. However, the scanning speed of SICM is much slower than other SPMs. Compressive sensing (CS) could improve scanning speed tremendously by breaking through the Shannon sampling theorem, but it still requires too much time in image reconstruction. Block compressive sensing can be applied to SICM imaging to further reduce the reconstruction time of sparse signals, and it has another unique application that it can achieve the function of image real-time display in SICM imaging. In this article, a new method of dividing blocks and a new matrix arithmetic operation were proposed to build the block compressive sensing model, and several experiments were carried out to verify the superiority of block compressive sensing in reducing imaging time and real-time display in SICM imaging. © 2014 Copyright Taylor & Francis Group, LLC.
类目[WOS]: Engineering, Electrical & Electronic
; Engineering, Mechanical
关键词[WOS]: LIVING CELLS
Appears in Collections: 机器人学研究室_期刊论文
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Efficient Imaging and Real-Time Display of Scanning Ion Conductance Microscopy Based on Block Compressive Sensing.pdf （1056KB） 期刊论文 出版稿 开放获取
Li GX,Li P,Wang YC,et al. Efficient Imaging and Real-Time Display of Scanning Ion Conductance Microscopy Based on Block Compressive Sensing[J]. International Journal of Optomechatronics,2014,8(3):218-227.