Linear filters for deconvolution microscopy

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn 6, Issue , 2004, Pages 142-146

  Homem, M R P ^a   Mascarenhas, N D A ^a   Da, Costa L ^b  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL METHODS; CONVOLUTION; FLUORESCENCE; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; LEAST SQUARES APPROXIMATIONS; SIGNAL TO NOISE RATIO; WAVE FILTERS;

DECONVOLUTION MICROSCOPY; LINEAR FILTERS; PHOTON COUNTS; POISSON NOISE;

OPTICAL MICROSCOPY;

EID: 2942594836     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Homem, M. R. P.; Mascarenhas, N. D. A; Costa, L. da F.; Preza, C. Biological Image Restoration in Optical-Sectioning Microscopy Using Prototype Image Constraints. Real Time Imaging, Vol. 8, pp. 475-490, December 2002.
2. Homem, M. R. P. Reconstrução Tridimensional de Imagens Com o Uso de Deconvolução a Partir de Seções Bidimensionais Obtidas em Microscopia Óptica. Ph.D.'s Thesis, Universidade de São Paulo, USP, São Carlos, SP, 2003. (in Portuguese)
3. Agard, D. A. Optical Sectioning Microscopy: Cellular Architecture in Three Dimensions. Ann. Rev. Biophys. Bioeng, Vol. 13, pp. 191-219, 1984.
4. Agard, D. A. et al. Fluorescence Microscopy in Three-Dimensions. Meth. Cell Biol., Vol. 30, pp. 353-377, 1989.
5. Snyder. D. L.; Hammoud, A. M.; White, R. Image Recovery from Data Acquired with a Charge-Couple-Device Camera. J. Opt. Soc. Am. A, Vol. 10, No. 5, pp. 1014-1023, May 1993.
6. Lo, C. M. Estimation of Image Signals with Poisson Noise. University of Southern California, Doctoral Thesis, 1979.
7. Preza, C. et al. Regularized Linear Method for Reconstruction of Three-Dimensional Microscopic Objects from Optical Sections. J. Opt. Soc. Am. A, Vol. 9, No. 2, pp. 219-228, February 1992.
8. Anscombe, F. J. The Transformation of Poisson, Binomial and Negative-Binomial Data. Biometrika, Vol. 15, pp. 246-254, 1948.
9. Inouye, T. Square Root Transform for the Analysis of Quantum Flutuations in Spectrum Data. Nuclear Instruments and Methods, Vol. 91, pp. 581-584, 1971.
10. Andrews, H. C. and Hunt, B. R. Digital Image Restoration. Prentice-Hall, Inc., 1977.
11. Goodman, J. W. and Belsher, J. F. Fundamental Limitations in Linear Invariant Restoration of Atmospherically Degraded Images. Proc. SPE, Vol. 75, pp. 141-154, 1976.
12. nd edition, Cambridge University Press, 1992.
13. McNally, J. G. et al. Tutorial - Image Restoration for 3-D Microscopy. April 26-27, IBC, Washington University, St. Louis, MO, 1996.