GPU implementation of volume reconstruction and object detection in digital holographic microscopy

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010

Volumn , Issue , 2010, Pages

  Orzo, Laszlo ^a   Göröcs, Zoltan ^a   Szatmari, Istvan ^a   Tokes, Szabolcs ^a  

^a INSTITUTE FOR COMPUTER SCIENCE AND CONTROL   (Hungary)

Author keywords

Digital holographic microscopy; GPU; Object detection; Volume inspection; Volume reconstruction

Indexed keywords

COMPUTER HARDWARE; DATA TRANSFER; ELECTRON HOLOGRAPHY; GRAPHICS PROCESSING UNIT; HOLOGRAMS; INSPECTION; MICROSCOPIC EXAMINATION; NANOTECHNOLOGY; OBJECT RECOGNITION; PHASE MEASUREMENT; VOLUME MEASUREMENT;

COMPUTATIONAL RESOURCES; DETECTION PROCESS; DIGITAL HOLOGRAM RECONSTRUCTION; DIGITAL HOLOGRAPHIC MICROSCOPY; GPU IMPLEMENTATION; OBJECT DETECTION ALGORITHMS; OBJECT RECONSTRUCTION; VOLUME RECONSTRUCTION;

OBJECT DETECTION;

EID: 77952359430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cnna.2010.5430246     Document Type: Conference Paper

References (12)

1. M. M. I. K. H. Xu, WB Jericho, "Digital in-line holography for biological applications," PNAS, vol. 98, no. 20, pp. 11 301-11 305, 2001.
2. J. Garcia-Sucerquia, W. Xu, S. Jericho, P. Klages, M. Jericho, and H. Kreuzer, "Digital in-line holographic microscopy," Applied optics, vol. 45, no. 5, pp. 836-850, 2006.
3. J. Garcia-Sucerquia, W. Xu, S. Jericho, M. Jericho, and H. Kreuzer, "4-d imaging of fluid flow with digital in-line holographic microscopy," Optik-International Journal for Light and Electron Optics, vol. 119, no. 9, pp. 419-423, 2008.
4. L. Denis, C. Fournier, T. Fournel, and C. Ducottet, "Numerical suppression of the twin image in in-line holography of a volume of micro-objects," Measurement Science and Technology, vol. 19, no. 7, p. 074004 (10pp), 2008. [Online]. Available: http://stacks.iop.org/0957-0233/19/ 074004.
5. J. Goodman, Introduction to Fourier optics. Roberts & Company Publishers, 2005.
6. T. Colomb, J. K̈uhn, F. Charriere, C. Depeursinge, P. Marquet, and N. Aspert, "Total aberrations compensation in digital holographic microscopy with a reference conjugated hologram," Appl. Opt, vol. 42, pp. 1938-1946, 2003.
7. Z. Nagy, Implementation of emulated digital CNN-UM architecture on programale logic devices and its applications. Department of Image Processing and Neurocomputing, University of Pannonia, Veszpŕem, Hungary, 2007.
8. B. Soos, A. Rak, J. Veres, and G. Cserey, "Gpu boosted cnn simulator library for graphical flow-based programmability," EURASIP Journal on Advances in Signal Processing, 2009.
9. M. Tachiki, M. Itoh, and T. Yatagai, "Simultaneous depth determination of multiple objects by focus analysis in digital holography," Applied optics, vol. 47, no. 19, pp. D144-D153, 2008.
10. G. Koren, F. Polack, and D. Joyeux, "Iterative algorithms for twin-image elimination in in-line holography using finite-support constraints," Journal of the Optical Society of America A, vol. 10, no. 3, pp. 423-433, 1993.
11. F. Palacios, J. Ricardo, D. Palacios, E. Gonçalves, J. Valin, and R. De Souza, "3d image reconstruction of transparent microscopic objects using digital holography," Optics communications, vol. 248, no. 1-3, pp. 41-50, 2005.
12. T. Shimobaba, Y. Sato, J. Miura, M. Takenouchi, and T. Ito, "Realtime digital holographic microscopy using the graphic processing unit," Optics Express, vol. 16, no. 16, pp. 11 776-11 781, 2008.