Video rate atomic force microscopic imaging

3rd Int. Joint Topical Meeting on Emergency Preparedness and Response and Robotics and Remote Systems 2011, EPRRSD, and 13th Robotics and Remote Systems for Hazardous Environments

Volumn , Issue , 2011, Pages 717-727

  Song, Bo ^a   Xi, Ning ^a   Yang, Ruiguo ^a   Lai, King Wai Chiu ^a   Qu, Chengeng ^a  

^a Michigan State University   (United States)

Author keywords

AFM; Compressive sensing; Fast imaging; Video rate

Indexed keywords

AFM; AFM IMAGE; AFM IMAGING; AFM TIP; ATOMIC FORCE; COMPRESSIVE SENSING; DATA SAMPLING; DYNAMIC OBSERVATION; FAST IMAGING; FRAME RATE; HIGH-RESOLUTION IMAGING; IMAGING TOOLS; MICROSCOPIC IMAGING; SAMPLE SURFACE; VACUUM-FREE; VIDEO RATES; WORKING ENVIRONMENT;

CIVIL DEFENSE; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; RISK MANAGEMENT; ROBOTICS; ROBOTS;

ATOMIC FORCE MICROSCOPY;

EID: 84855731947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. G. Binning, C. F. Quate, and C. Gerber. "Atomic force microscope," Physical Review Letters, 56(9), pp.930-933, (1986).
2. D. M. Schaefer, R. Reifenberger, A. Patil, and R. P. Andres. "Fabrication of two-dimensional arrays of nanometer-size clusters with the atomic force microscope," IEEE Transaction on Nanotechnology, 66(8), pp.1012-1014, (1995).
3. Ruiguo Yang, Ning Xi, C. Kar, Man Fung, King Wai, Chiu Lai, K. Seiffert-Sinha, and A.A Sinha. "Analysis of keratinocytes stiffness after desmosome disruption using atomic force microscopy based nanomanipulation," IEEE Conference on Nanotechnology, Genoa, Italy, 26-30 July, pp.640-643 (2009).
4. Andreas Engel and Daniel J. Mller. "Observing single biomolecules at work with the atomic force microscope," Nat. Struct. Biol, 7(9), pp.715-718, (2000).
5. Ruiguo Yang, Ning Xi, C.K.M. Fung, Chengeng Qu, and Jun Xi. "Comparative studies of atomic force microscopy (afm) and quartz crystal microbalance with dissipation (qcm-d) for real-time identification of signaling pathway," IEEE Conference on Nanotechnology, Seoul, Korea, 17-20 Aug, pp. 1016-1020 (2010).
6. Guangyong Li, Ning Xi, and Donna H.Wang. "In situ sensing and manipulation of molecules in biological samples using a nano robotic system," Nanomedicine, 1(1), pp.31-40 (2005).
7. Justin Romberg. "Imaging via compressive sampling," IEEE Signal Processing Magazine, 25(2), pp. 14-20 (2008).
8. Emmanuel J. Cands and Michael B. Wakin. "An introduction to compressive sampling," IEEE Signal Processing Magazine, 52(2), pp.21-30 (2008).
9. Richard G. Baraniuk. "More is less: Signal processing and the data deluge," Science, 331(6018), pp.717-719 (2011).
10. E.J. Candes, J. Romberg, and T. Tao. "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," IEEE Transactions on Information Theory, 52(2), pp.489-509 (2006).
11. David L. Donoho. "Compressed sensing," IEEE Transactions on Information Theory, 52(4), pp. 1289-1306 (2006).
12. David L. Donoho and Yaakov Tsaig. "Extensions of compressed sensing," Signal Processing, 86(3), pp.533-548 (2006).
13. Minh N. Do and Martin Vetterli. "The finite ridgelet transform for image representation," IEEE Transactions on Information Theory, 12(1), pp. 16-28 (2003).
14. Erwan Le Pennec1 and Stphane Mallat. "Sparse geometric image representation with bandelets," IEEE Transactions on Image Processing, 14(4), pp.423-438 (2005)
15. M.N. Do and M. Vetterli. "Compressed sensing," IEEE Transactions on Image Processing, 14(12), pp.2091-2106 (2005).
16. Holger Rauhut. "Stability results for random sampling of sparse trigonometric polynomials," IEEE Transactions on Information Theory, 54(12), pp.5661-5670 (2008).
17. Mark Rudelson and Roman. Vershynin. "On sparse reconstruction from fourier and Gaussian measurements," Communications on Pure and Applied Mathematics, 61(8), pp. 1025-1045 (2008).
18. Emmanuel Candes, Justin Romberg, and Terence Tao. "Stable signal recovery from incomplete and inaccurate measurements," Communicationson Pure and Applied Mathematics, 59(8), pp. 1207-1223 (2006).
19. Scott Shaobing Chen, David L. Donoho, and Michael A. Saunders. "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing, 43(1), pp. 129-159 (1998).
20. David L. Donoho. "For most large underdetermined systems of linear equations, the minimal 11 norm solution is also the sparsest solution," Communications on Pure and Applied Mathematics, 59(6), pp.797-829 (2006).