A quantitative comparison of image restoration methods for confocal microscopy

Journal of Microscopy

Volumn 185, Issue 3, 1997, Pages 354-365

  Van Kempen, G M P ^a   Van Vliet, L J ^a   Verveer, P J ^b   Van Der Voort, H T M ^c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b MAX PLANCK INSTITUTE FOR BIOPHYSICAL CHEMISTRY   (Germany)

^c Scientific Volume Imaging BV   (Netherlands)

Author keywords

3 D imaging; Confocal microscopy; Image restoration

Indexed keywords

CONFOCAL MICROSCOPY; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION; OPTICAL TRANSFER FUNCTION; POISSON DISTRIBUTION; RESTORATION;

3-D IMAGING; ADDITIVE GAUSSIAN NOISE; GAUSSIAN NOISE MODEL; GAUSSIANS; ITERATIVE CONSTRAINED TIKHONOV-MILLER; MILLER'S ALGORITHM; POISSON PROCESS; PRE-FILTERING; RESTORATION METHODS; RICHARDSON-LUCY ALGORITHMS;

IMAGE RECONSTRUCTION;

ARTICLE; CONFOCAL MICROSCOPY; IMAGE RECONSTRUCTION; PRIORITY JOURNAL;

ACRONICTA LEPORINA;

EID: 0030947104     PISSN: 00222720     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2818.1997.d01-629.x     Document Type: Article

References (26)

1. Art, J. (1995) Photon detectors for confocal microscopy. Handbook of Biological Confocal Microscopy (ed. by J. B. Pawley), pp. 183-196. Plenum Press, New York.
2. Carrington, W.A. (1990) Image restoration in 3D microscopy with limited data. Bioimaging and Two-Dimensional Spectroscopy Proc. SPIE (ed. by L. C. Smith), Vol. 1205, pp. 72-83. SPIE.
3. Carrington, W.A., Lynch, R.M., Moore, E.M., Isenberg, G., Fogarty, K.E. & Fay F.S. (1995) Superresolution three-dimensional images of fluorescence in cells with minimal light exposure. Science, 268, 1483-1487.
4. Csiszár, I. (1991) Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems. Ann. Statist. 19, 2032-2066.
5. Dempster, A.P., Laird, N.M. & Rubin, D.B. (1977) Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. B, 39, 1-37.
6. Galatsanos, N.P. & Katsaggelos, A.K. (1992) Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation. IEEE Trans. Image Processing, 1, 322-336.
7. Holmes, T.J., Bhattacharyya, S., Cooper, J.A., Hanzel, D. & Krishnamurti, V. (1995) Light microscopic images reconstructed by maximum likelihood deconvolution. Handbook of Biological Confocal Microscopy (ed. by J. B. Pawley), pp. 389-402. Plenum Press, New York.
8. Holmes, T.J. & Liu, Y.H. (1991) Acceleration of maximum-likelihood image restoration for fluorescence microscopy and other noncoherent imagery. J. Opt. Soc. Am. A, 8, 893-907.
9. Joshi, S. & Miller, M.I. (1993) Maximum a posteriori estimation with good roughness for 3-D optical-sectioning microscopy. Opt. Soc. Am. A, 10, 1078-1085.
10. van Kempen, G.M.P., van der Voort, H.T.M., Bauman, J.G.J. & Strasters, K.C. (1996) Comparing maximum likelihood estimation and constrained Tikhonov-Miller restoration. IEEE Eng. Med. Biol. 15, 76-83.
11. Lagendijk, R.L. & Biemond, J. (1991) Iterative Identification and Restoration of Images. Kluwer, Boston.
12. Pawley, J.B. (1990) Fundamental limits in Confocal microscopy. Handbook of Biological Confocal Microscopy (ed. by J. B. Pawley), pp. 15-26. Plenum Press, New York.
13. Press, W.H., Teukolsky, S.A., Vetterling, W.T. & Flannery, B.P. (1992) Numerical Recipes in C, 2nd edn. Cambridge University Press, Cambridge.
14. Reeves, S.J. & Mersereau, R.M. (1992) Blur identification by the method of generalized cross-validation. IEEE Trans. Image Processing, 1, 301-311.
15. Wijnaends van Resandt, R., Marsman, H.B.J., Kaplan, R., Davoust, J., Stelzer, E.K.H. & Stricker, R. (1985) Optical fluorescence microscopy in 3 dimensions: microtomoscopy, J. Microsc. 138, 29-34.
16. Richardson, W.H. (1972) Bavesian-based iterative method of image restoration. J. Opt. Soc. Am. 62, 55-59.
17. Shaw, P.J. & Rawlins, D.J. (1991) The point-spread function of a confocal microscope: its measurement and use in deconvolution of 3-D data. J. Microsc. 163, 151-166.
18. Shepp, L.A. & Vardi, Y. (1982) Maximum likelihood reconstruction for emission tomography. IEEE Trans. Med. Imaging, MI-1, 113-121.
19. Snyder, D.L., Hammoud, A.M. & White, R.L. (1993) Image recovery from data acquired with a charge-coupled-device camera. J. Opt. Soc. Am. A, 10, 1014-1023.
20. Snyder, D.L. & Miller, M.I. (1991) Random Point Processes in Time and Space. Springer Verlag, Berlin.
21. Snyder, D.L., Schutz, T.J. & O'Sullivan, J.A. (1992) Deblurring subject to nonnegative constraints. IEEE Trans. Signal Processing, 40, 1143-1150.
22. Tikhonov, A.N. & Arsenin, V.Y. (1977). Solutions of Ill-Posed Problems. Wiley, New York.
23. Vardi, Y., Shepp, L.A. & Kaufman, L. (1985) A statistical model for positron emission tomography. J. Am. Statist. Assoc. 80, 8-35.
24. van Vliet, L.J. (1993) Grey-scale Measurements in Multi-Dimensional Digitized Images. Delft University Press, Delft.
25. van der Voort, H.T.M. & Brakenhoff, G.J. (1990) 3-D image formation in high-aperture fluorescence confocal microscopy: a numerical analysis. J. Microsc. 158, 43-54.
26. van der Voort, H.T.M. & Strasters, K.C. (1995) Restoration of confocal images for quantitative image analysis. J. Microsc. 178, 165-181.