DocumentCode :
3229911
Title :
Video rate Atomic Force Microscopy (AFM) imaging using compressive sensing
Author :
Song, Bo ; Xi, Ning ; Yang, Ruiguo ; Lai, King Wai Chiu ; Qu, Chengeng
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2011
fDate :
15-18 Aug. 2011
Firstpage :
1056
Lastpage :
1059
Abstract :
Atomic Force Microscopy (AFM) is a powerful tool for nano-size imaging. The advantage of AFM is that it can get extraordinary high resolution image at atom level. However, AFM obtains the sample topography image through scanning on the top of sample line by line, therefore it takes couples minutes to get an image and this negative point makes it difficult to continuously observe surface change during manipulation. In this paper, a novel approach for compressive sensing based video rate AFM imaging system is proposed. In this method, compressive sensing is used for sampling topography information of sample surface efficiently. Compressive sensing could use fewer measurements for data sensing to recovery the image through image reconstruction algorithm. This technique decreases the scanning time for AFM scanner because of fewer measurements needed. The video rate for this new approach could reach as high as 1.75 seconds per frame.
Keywords :
atomic force microscopy; image reconstruction; nanosensors; AFM; AFM scanner; atomic force microscopy; compressive sensing; data sensing; extraordinary high resolution image; image reconstruction algorithm; nanosize imaging; topography image; topography information; video rate AFM imaging system; Compressed sensing; Force; Image coding; Image reconstruction; Imaging; Sparse matrices; Surfaces; AFM; Compressive Sensing; Imaging; Video Rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nanotechnology (IEEE-NANO), 2011 11th IEEE Conference on
Conference_Location :
Portland, OR
ISSN :
1944-9399
Print_ISBN :
978-1-4577-1514-3
Electronic_ISBN :
1944-9399
Type :
conf
DOI :
10.1109/NANO.2011.6144587
Filename :
6144587
Link To Document :
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