Abstract
Bioimaging is an immensely powerful tool in biomedical research that aids the understanding of cellular structures and the molecular events in the cell. Understanding the biological functions within the cell requires an in-depth understanding of all the diverse functions of the microscopic structures and the molecular interactions between macromolecules in their natural environment. Traditionally, cell biologists have used light microscopy techniques to study topographical characterization of cell surfaces. The optical properties of a light microscope give occasion to a blurring phenomenon similar to the one with a conventional microscope with the result that images are characterized by low resolution and magnification. We address the challenging task of enhancing the image produced by a light microscope by reconstructing a stack of monoscopic images from a light microscope to produce a single image with inferential and useful information than that obtained at the best focus level. We believe such an approach will enable a wider base of microscope users to take advantage of light microscope imaging in biological research.
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References
Borovkov AA (1984) Mathematical Statistics (Mir, Moscow, 1984).
Cabral B, Cam N, Foran J (1994) Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. 1994 Symposium on Volume Visualization, pp. 91-98.
Cruz-Neira C, Sandin D, DeFanti T (1993) Surround-Screen Projection-Based Virtual Reality: The Design and Implementation of the CAVE. Computer Graphics, ACM SIGGRAPH, 135-142.
Darrell T, Wohn K (1988) Pyramid based depth from focus. Proc. CVPR, pp. 504-509.
Ens J, Lawrance P (1993) An Investigation of Methods for Determining Depth from Focus. IEEE Trans. On Pattern Analysis and Machine Intelligence, 15(2):97-108.
Grossman P (1987) Depth from Focus. Pattern Recognition Letters, 5:63-69, 1987.
Haykin S (1994) Communication Systems Chap.10. 3rd ed., John Wiley & Sons, Inc.
Horn BKP (1968) Focusing. MIT Artificial Intelligence Laboratory, Memo No. 160.
Jarvis R (1983) A perspective on range-finding techniques for computer vision. IEEE, Trans. Patt. Anal. Machine. Intell, vol. PAMI-3, pp. 122-139.
Lai SH, Fu CW, Chang S (1992) A Generalized Depth Estimation Algorithm with a Single Image. IEEE Trans. On Pattern Analysis and Machine Intelligence, 14(4):405-411.
Meißner M, Hoffmann U, Straßer W (1999) Enabling classification and shading for 3D texture mapping based volume rendering using OpenGL and extensions. In Proceedings of Visualization 1999, pages 207-214.
Meißner M, Huang J, Bartz D, Mueller K, and Crawfis R (2000) A practical evaluation of popular volume rendering algorithms. In Proceedings of the Symposium on Volume Visualization 2000, pages 81-90.
Nayar SK, Nakagawa Y (1990) Shape form Focus: An Effective Approach for Rough Surfaces. IEEE Intl. Conference on Robotics and Automation, pp. 218-225.
Nayar S.K (1992) Shape from focus system. Proc. CVPR, pp.302-308.
Nayar SK, Walanabe M, Nogouchi M (1995) Real time focus range sensor. Proc. ICCV, pp. 995-1001.
Nayar SK (1992) Shape from Focus System for Rough Surface. In Proc. Image Understanding Workshop, pp. 539-606.
Papoulis A (1991) Probability, Random Variables, and Stochastic Processes Chap.15. 2nd ed., McGrawHill.
Pentland AP (1987) A New Sense of Depth of Field. IEEE Trans. On Pattern Analysis and Machine Intelligence, 9(4):523-531.
Porter T, Duff T (1984) Compositing Digital Images. In Proceedings of the SIGGRAPH.
Rezk-Salama C, Engel K, Bauer M, Greiner G, Ertl T (2000) Interactive volume rendering on standard PC graphics hardware using multi-textures and multi-stage rasterization. In Proceedings of the Workshop on Graphics Hardware 2000, pages 109-118.
Schechner YY, Kiryati N, Basri R (2000) Separation of Transparent Layers using Focus. International Journal of Computer Vision, 39 (1): 25-39, Kluwer Academic Publishers.
Subbarao M (1988) Parallel Depth Recovery by Changing Camera Parameters. In Proc. International Conference on Computer Vision, pp. 149-155.
Xiong Y, Shafer SA (1993) Depth from focusing and defocusing. Proc. CVPR, pp. 68-73.
Yeo TTE, Ong S H, Jayasooriah, Sinniah R (1993) Autofocusing for tissue microscopy. Image and, Vision Comp. vol. 11, pp. 629-639.
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Kockara, S., Ali, N., Dagtas, S. (2009). Immersive Visualization of Cellular Structures. In: Chan, Y., Talburt, J., Talley, T. (eds) Data Engineering. International Series in Operations Research & Management Science, vol 132. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0176-7_17
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DOI: https://doi.org/10.1007/978-1-4419-0176-7_17
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