Novel array configuration and its optimization for sparse aperture imaging systems

2011 ◽  
Vol 50 (5) ◽  
pp. 053202 ◽  
Author(s):  
Li Liu
2009 ◽  
Vol 29 (10) ◽  
pp. 2774-2779
Author(s):  
刘丽 Liu Li ◽  
江月松 Jiang Yuesong ◽  
王长伟 Wang Changwei

2009 ◽  
Author(s):  
Andrew J. Stokes ◽  
Bradley D. Duncan ◽  
Matthew P. Dierking ◽  
Nicholas J. Miller

2009 ◽  
Vol 48 (28) ◽  
pp. 5212 ◽  
Author(s):  
Abhijit Mahalanobis ◽  
Mark Neifeld ◽  
Vijaya Kumar Bhagavatula ◽  
Thomas Haberfelde ◽  
David Brady

2002 ◽  
Author(s):  
Soon-Jo Chung ◽  
David W. Miller ◽  
Olivier L. de Weck

2010 ◽  
Vol 18 (5) ◽  
pp. 4417 ◽  
Author(s):  
Andrew J Stokes ◽  
Bradley D. Duncan ◽  
Mathew P. Dierking

2009 ◽  
Vol 36 (4) ◽  
pp. 934-939
Author(s):  
赵娟 Zhao Juan ◽  
王大勇 Wang Dayong ◽  
张亚新 Zhang Yaxin ◽  
耿则勋 Geng Zexun ◽  
陶世荃 Tao Shiquan

2007 ◽  
Author(s):  
Juan Zhao ◽  
Dayong Wang ◽  
Ji Han ◽  
Zhuqing Jiang ◽  
Yuhong Wan ◽  
...  

Author(s):  
Xiao Zhang

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.


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