Quantitative depth-variant imaging for fluorescence microscopy using the COSMOS software package

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7570, Issue , 2010, Pages

  Preza, Chrysanthe ^a   Myneni, Vimeetha ^a  

^a University of Memphis   (United States)

Author keywords

Computational microscopy imaging; Computational optical sectioning microscopy; Depth variant imaging; Fluorescence microscopy; Space variant imaging, COSMOS software; Spherical aberrations

Indexed keywords

COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY; MICROSCOPY IMAGING; OPTICAL SECTIONING MICROSCOPY; SPACE-VARIANT IMAGING; SPHERICAL ABERRATIONS;

ABERRATIONS; COMPUTATIONAL COMPLEXITY; CONVOLUTION; DECONVOLUTION; FLUORESCENCE; FLUORESCENCE MICROSCOPY; IMAGE ACQUISITION; REFRACTIVE INDEX; SOFTWARE PACKAGES; SPHERES; THREE DIMENSIONAL;

ALGORITHMS;

EID: 77951818945     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.840688     Document Type: Conference Paper

References (17)

1. Preza, C. and Conchello, J-A., "Depth-variant maximum-likelihood restoration for three-dimensional fluorescence microscopy," JOSA A, 21:1593-1601 (2004).
2. COSMOS Software Package, URL: http://cirl.memphis.edu/cosmos/index.html
3. Gibson, S. F. and Lanni, F., "Experimental test of an analytical model of aberration in an oil-immersion objective lens used in three-dimensional light microscopy," J. Opt. Soc. Am. A., 9:54-66 (1992).
4. O. Haeberlé, "Focusing of light through a stratified medium: a practical approach for computing microscope point spread functions. Part I: Conventional microscopy," Opt. Commun. 216, 55-63 (2003).
5. McNally, J. G., Preza, C., Conchello, J-A. and Thomas, L. J. Jr., "Artifacts in computational optical-sectioning microscopy," J. Opt. Soc. Am. A., 11:1056-1067 (1994).
6. Swedlow, J. R. and Platani, M., "Live cell imaging using wide-field microscopy and deconvolution," Cell. Struct. Funct., 27:335-341 (2002). (Pubitemid 36149987)
7. McNally, J. G., Karpova, T., Cooper, J. and Conchello, J. A., "Three-dimensional imaging by deconvolution microscopy," Methods, 19(3):373-385, 1999.
8. Shaevitz, J.W. and Fletcher, D.A., "Enhanced three-dimensional deconvolution microscopy using a measured depth-varying point-spread function," Journal of Optical Society America A 24(9), 2622-2627 (2007).
9. Boutet de Monvel, J., Scarfone, E., Le Calvez, S. and Ulfendahl, M., "Image adaptive deconvolution for three-dimensional deep biological imaging," Biophysical Journal 85, 3991-4001 (2003). (Pubitemid 37490308)
10. XCOSM software package, URL: http://www.essrl.wustl.edu/~preza/xcosm/.
11. Conchello, J.-A., "Super-resolution and convergence properties of the expectation-maximization algorithm for maximum-likelihood deconvolution of incoherent images", J. Opt. Soc. Am. A, 15:2609-2620 (1998).
12. Preza, C., Miller, M. I., Thomas, Jr., L. J., and McNally, J. G., "Regularized linear method for reconstruction of three dimensional microscopic objects from optical sections," J. Opt. Soc. Am. A., 9(2):219 228 (1992).
13. Preza, C., Miller, M. I., and Conchello, J. A., "Image reconstruction for 3 D light microscopy with a regularized linear method incorporating a smoothness prior," in Biomedical Image Processing and Biomedical Visualization, R. S. Acharya and D. B. Goldgof, Eds., Proc. SPIE 1905:129 139 (1993).
14. Agard, D. A., "Optical sectioning microscopy," Annu. Rev. Biophys. Bioeng., 13:191-219 (1984).
15. Myneni, V., "Perfromance analysis of a depth-variant expectation maximization algorithm for 3D fluorescence microscopy," MS Thesis in Electrical and Computer Engineering, The University of Memphis (2009).
16. Markham, J. and Conchello, J.-A., "Tradeoffs in regularized maximum likelihood image restoration," Proceedings of SPIE 2984, 136-145 (1997).
17. Preza, C. and Myneni, V., "Quantitative 3D cell imaging with fluorescence microscopy and the COSMOS software package", to be submitted to the Journal of Biomedical Optics, under preparation (2010).