3D deconvolution microscopy

Current Protocols in Cytometry

Volumn , Issue SUPPL. 52, 2010, Pages

  Biggs, David S C ^a  

^a KB Imaging Solutions LLC   (United States)

Author keywords

Confocal; Deblurring; Deconvolution; Fluorescence; Image restoration; Point spread function; Widefield

Indexed keywords

ACCURACY; ALGORITHM; COMPUTER AIDED DESIGN; CONFOCAL MICROSCOPY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; LIGHT EXPOSURE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; OPTICAL RESOLUTION; PREDICTION; PRIORITY JOURNAL; REVIEW; SAMPLING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; COMPUTERS; DIAGNOSTIC IMAGING; HELA CELLS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, CONFOCAL; MICROSCOPY, FLUORESCENCE; MODELS, THEORETICAL; REFRACTOMETRY; SOFTWARE;

EID: 77951838488     PISSN: 19349297     EISSN: 19349300     Source Type: Journal    
DOI: 10.1002/0471142956.cy1219s52     Document Type: Review

References (23)

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2. Arnison, M.R., 2004. Phase Control and Measurement in Digital Microscopy. Ph.D. Thesis, University of Sydney, Australia.
3. Biggs, D.S.C., 1998. Accelerated Iterative Blind Deconvolution. Ph.D. Thesis, University of Auckland, New Zealand. http://researchspace.auckland.ac. nz/handle/2292/1760.
4. Biggs, D.S.C., 2010. A practical guide to deconvolution of fluorescence microscope imagery. Microscopy Today 18, No. 1.
5. Born, M., and, Wolf, E., 1999. Principles of Optics, 7th edition. Cambridge University Press. Cambridge.
6. Cannell, M.B., McMorland, A., and, Soeller, C., 2006. Image enhancement by deconvolution. In Handbook of Biological Confocal Microscopy, 3rd ed. (, J. Pawley, ed.) pp. 488 - 500. Springer, New York.
7. Fish, D.A., Brinicombe, A.M., Pike, E.R., and, Walker, J.G., 1995. Blind deconvolution by means of the Richardson-Lucy algorithm. J. Opt. Soc. Am. A 12: 58 - 65.
8. Gold, R., 1964. An Iterative Unfolding Method for Matrices, Tech. Rep. ANL-6984. Argonne National Laboratory, Argonne, Illinois.
9. Gonzalez, R.C., and, Woods, R.E., 2007. Digital Image Processing, Prentice Hall, Upper Saddle River, N.J.
10. Holmes, T.J., Biggs, D., and, Abu-Tarif, A., 2006. Blind deconvolution. In Handbook of Biological Confocal Microscopy, 3rd ed. (, J. Pawley, ed.) pp. 468 - 487. Springer, New York.
11. Larson, J., 2002. Two-dimensional and three-dimensional blind deconvolution of fluorescence confocal images. Proc. SPIE 86: 4621.
12. Lucy, L.B., 1974. An iterative technique for the rectification of observed distributions. Astron. J. 79: 745 - 754.
13. Richardson, W.H., 1972. Bayesian-based iterative method of image restoration. J. Opt. Soc. Am. 62: 55 - 59.
14. Sibarita, J.B., 2005. Deconvolution microscopy. Adv. Biochem. Engin./Biotechnol. 95: 201 - 243.
15. Biggs, D.S.C., 2004. Clearing up deconvolution. Biophotonics Int. February: 32 - 37. For a more in-depth review of deconvolution techniques
16. Wallace, W., Schaefer, L.H., and, Swedlow, J.R., 2001. Working persons guide to deconvolution in light microscopy. BioTechniques 31: 1076 - 1097.
17. Sibarita, 2005. See above.
18. Holmes, et al., 2006. See above. For a more technical review of deconvolution algorithms
19. Sarder, P., and, Nehorai, A., 2006. Deconvolution methods for 3D fluorescence microscopy images: An overview. IEEE Signal Proc. Mag. 23: 32 - 45. For a comprehensive reference book on biological confocal (and widefield) microscopy
20. Pawley, J.B., (ed.) 2006. Handbook of Biological Confocal Microscopy, 3rd ed. Springer, New York.
21. http://micro.magnet.fsu.edu/ An easily accessible reference to microscopy principles, usage and applications can be found at the Molecular Expressions Web site.
22. http://micro.magnet.fsu.edu/primer/digitalimaging/deconvolution/ deconvolutionhome.html Deconvolution section at Molecular Expressions.
23. http://www.3ddeconvolution.com/ A tutorial Web site for 3D deconvolution that extends the work presented in this unit, and includes more example results.