A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

J. Laurie, D. Wyncoll, and C. Harrison, “New versus old blood—the debate continues,” Crit. Care 14, 130–131 (2010).

[CrossRef]
[PubMed]

I. Moon, M. Daneshpanah, B. Javidi, and A. Stern, “Automated three dimensional identification and tracking of micro/nano biological organisms by computational holographic microscopy,” Proc. IEEE 97, 990–1010 (2009).

[CrossRef]

S. Borah and M. K. Ghose, “Performance analysis of AIM-K-means & K-means in quality cluster generation,” J. Comp. 1, 175–178 (2009).

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

L. Martinez and B. Javidi, “Synthetic aperture single-exposure on-axis digital holography,” Opt. Express 16, 161–169 (2008).

[CrossRef]

I. Moon and B. Javidi, “3D identification of stem cells by computational holographic imaging,” J. R. Soc. Interface 4, 305–313 (2007).

[CrossRef]
[PubMed]

B. Javidi, I. Moon, and S. Yeom, “Real-time 3D sensing and identification of microorganisms,” Opt. Photon. News Magazine 17, 16–21 (2006).

[CrossRef]

Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, “Three dimensional imaging and display using computational holographic imaging,” Proc. IEEE 94, 636–654 (2006).

[CrossRef]

T. Colomb, E. Cuche, F. Charrière, J. Kühn, N. Aspert, P. Marquet, and C. Depeursinge, “Automatic procedure for aberration compensation in digital holographic microscopy and application to specimen shape compensation,” Appl. Opt. 45, 851–863 (2006).

[CrossRef]
[PubMed]

T. Nomura, S. Murata, E. Nitanai, and T. Numata, “Phase-shifting digital holography with a phase difference between orthogonal polarizations,” Appl. Opt. 45, 4873–4877 (2006).

[CrossRef]
[PubMed]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

B. Javidi, I. Moon, S. Yeom, and E. Carapezza, “Three-dimensional imaging and recognition of microorganism using single-exposure on-line (SEOL) digital holography,” Opt. Express 13, 4492–4506 (2005).

[CrossRef]
[PubMed]

P. Ferraro, S. De Nicola, G. Coppola, A. Finizio, D. Alfieri, and G. Pierattini, “Controlling image size as a function of distance and wavelength in Fresnel-transform reconstruction of digital holograms,” Opt. Lett. 29, 854–856 (2004).

[CrossRef]
[PubMed]

Y. Zhang, G. Pedrini, W. Osten, and H. J. Tiziani, “Reconstruction of in-line digital holograms from two intensity measurements,” Opt. Lett. 29, 1787–1789 (2004).

[CrossRef]
[PubMed]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

C. Fraley and A. E. Raftery, “Model-based clustering, discriminant analysis and density estimation,” J. Am. Stat. Assoc. 97, 611–631 (2002).

[CrossRef]

F. Dubois, L. Joannes, and J.-C. Legros, “Improved three-dimensional imaging with digital holography microscope using a partial spatial coherent source,” Appl. Opt. 38, 7085–7094(1999).

[CrossRef]

A. J. Berger, T. W. Koo, I. Itzkan, G. Horowitz, and M. S. Feld, “Multicomponent blood analysis by near-infrared Raman spectroscopy,” Appl. Opt. 38, 2916–2926 (1999).

[CrossRef]

E. Cuche, P. Marquet, and C. Depeursinge, “Simultaneous amplitude and quantitative phase contrast microscopy by numerical reconstruction of Fresnel off-axis holograms,” Appl. Opt. 38, 6994–7001 (1999).

[CrossRef]

J. D. Banfield and A. E. Raftery, “Model-based Gaussian and non-Gaussian clustering,” Biometrics 49, 803–821 (1993).

[CrossRef]

J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-means clustering algorithm,” J. Royal Statistical Soc. C 28, 100–108(1979).

[CrossRef]

A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statistical Soc. B 39, 1–38 (1977).

A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

J. D. Banfield and A. E. Raftery, “Model-based Gaussian and non-Gaussian clustering,” Biometrics 49, 803–821 (1993).

[CrossRef]

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

S. Borah and M. K. Ghose, “Performance analysis of AIM-K-means & K-means in quality cluster generation,” J. Comp. 1, 175–178 (2009).

T. Colomb, E. Cuche, F. Charrière, J. Kühn, N. Aspert, P. Marquet, and C. Depeursinge, “Automatic procedure for aberration compensation in digital holographic microscopy and application to specimen shape compensation,” Appl. Opt. 45, 851–863 (2006).

[CrossRef]
[PubMed]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

T. Colomb, E. Cuche, F. Charrière, J. Kühn, N. Aspert, P. Marquet, and C. Depeursinge, “Automatic procedure for aberration compensation in digital holographic microscopy and application to specimen shape compensation,” Appl. Opt. 45, 851–863 (2006).

[CrossRef]
[PubMed]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

E. Cuche, P. Marquet, and C. Depeursinge, “Simultaneous amplitude and quantitative phase contrast microscopy by numerical reconstruction of Fresnel off-axis holograms,” Appl. Opt. 38, 6994–7001 (1999).

[CrossRef]

A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

I. Moon, M. Daneshpanah, B. Javidi, and A. Stern, “Automated three dimensional identification and tracking of micro/nano biological organisms by computational holographic microscopy,” Proc. IEEE 97, 990–1010 (2009).

[CrossRef]

A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statistical Soc. B 39, 1–38 (1977).

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

T. Colomb, E. Cuche, F. Charrière, J. Kühn, N. Aspert, P. Marquet, and C. Depeursinge, “Automatic procedure for aberration compensation in digital holographic microscopy and application to specimen shape compensation,” Appl. Opt. 45, 851–863 (2006).

[CrossRef]
[PubMed]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

E. Cuche, P. Marquet, and C. Depeursinge, “Simultaneous amplitude and quantitative phase contrast microscopy by numerical reconstruction of Fresnel off-axis holograms,” Appl. Opt. 38, 6994–7001 (1999).

[CrossRef]

S. Ghosh and D. K. Dey, “Model based penalized clustering for multivariate data,” in Advances in Multivariate Statistical Methods, A.Sengupta, ed. (World Scientific, 2009), pp. 53–72.

[CrossRef]

S. Ghosh and D. K. Dey, “Clustering: a pervasive data analytic technique,” Multivariate Statistical Methods, A.Sengupta, ed., Macmillan Advanced Research Series (Macmillan, 2009), pp. 171–201.

C. Elkan, “Using the triangle inequality to accelerate k-means,” in Proceedings of the Twentieth International Conference on Machine Learning (ICML), 2003), pp. 147–153.

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

G. Frahling and C. Sohler, “A fast k-means implementation using coresets,” in Proceedings of the Twenty-Second Annual Symposium on Computational Geometry (SoCG) (Association for Computing Machinery, 2006), pp. 135–143.

C. Fraley and A. E. Raftery, “Model-based clustering, discriminant analysis and density estimation,” J. Am. Stat. Assoc. 97, 611–631 (2002).

[CrossRef]

Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, “Three dimensional imaging and display using computational holographic imaging,” Proc. IEEE 94, 636–654 (2006).

[CrossRef]

S. Borah and M. K. Ghose, “Performance analysis of AIM-K-means & K-means in quality cluster generation,” J. Comp. 1, 175–178 (2009).

S. Ghosh and D. K. Dey, “Model based penalized clustering for multivariate data,” in Advances in Multivariate Statistical Methods, A.Sengupta, ed. (World Scientific, 2009), pp. 53–72.

[CrossRef]

S. Ghosh and D. K. Dey, “Clustering: a pervasive data analytic technique,” Multivariate Statistical Methods, A.Sengupta, ed., Macmillan Advanced Research Series (Macmillan, 2009), pp. 171–201.

J. Laurie, D. Wyncoll, and C. Harrison, “New versus old blood—the debate continues,” Crit. Care 14, 130–131 (2010).

[CrossRef]
[PubMed]

J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-means clustering algorithm,” J. Royal Statistical Soc. C 28, 100–108(1979).

[CrossRef]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

I. Moon, M. Daneshpanah, B. Javidi, and A. Stern, “Automated three dimensional identification and tracking of micro/nano biological organisms by computational holographic microscopy,” Proc. IEEE 97, 990–1010 (2009).

[CrossRef]

L. Martinez and B. Javidi, “Synthetic aperture single-exposure on-axis digital holography,” Opt. Express 16, 161–169 (2008).

[CrossRef]

I. Moon and B. Javidi, “3D identification of stem cells by computational holographic imaging,” J. R. Soc. Interface 4, 305–313 (2007).

[CrossRef]
[PubMed]

Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, “Three dimensional imaging and display using computational holographic imaging,” Proc. IEEE 94, 636–654 (2006).

[CrossRef]

B. Javidi, I. Moon, and S. Yeom, “Real-time 3D sensing and identification of microorganisms,” Opt. Photon. News Magazine 17, 16–21 (2006).

[CrossRef]

B. Javidi, I. Moon, S. Yeom, and E. Carapezza, “Three-dimensional imaging and recognition of microorganism using single-exposure on-line (SEOL) digital holography,” Opt. Express 13, 4492–4506 (2005).

[CrossRef]
[PubMed]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

T. Kreis, Handbook of Holographic Interferometry (Wiley, 2005).

A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statistical Soc. B 39, 1–38 (1977).

J. Laurie, D. Wyncoll, and C. Harrison, “New versus old blood—the debate continues,” Crit. Care 14, 130–131 (2010).

[CrossRef]
[PubMed]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

J. B. MacQueen, “Some methods for classification and analysis of multivariate observations,” in Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability(University of California, 1967), pp. 281–297.

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

T. Colomb, E. Cuche, F. Charrière, J. Kühn, N. Aspert, P. Marquet, and C. Depeursinge, “Automatic procedure for aberration compensation in digital holographic microscopy and application to specimen shape compensation,” Appl. Opt. 45, 851–863 (2006).

[CrossRef]
[PubMed]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

E. Cuche, P. Marquet, and C. Depeursinge, “Simultaneous amplitude and quantitative phase contrast microscopy by numerical reconstruction of Fresnel off-axis holograms,” Appl. Opt. 38, 6994–7001 (1999).

[CrossRef]

Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, “Three dimensional imaging and display using computational holographic imaging,” Proc. IEEE 94, 636–654 (2006).

[CrossRef]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

I. Moon, M. Daneshpanah, B. Javidi, and A. Stern, “Automated three dimensional identification and tracking of micro/nano biological organisms by computational holographic microscopy,” Proc. IEEE 97, 990–1010 (2009).

[CrossRef]

I. Moon and B. Javidi, “3D identification of stem cells by computational holographic imaging,” J. R. Soc. Interface 4, 305–313 (2007).

[CrossRef]
[PubMed]

B. Javidi, I. Moon, and S. Yeom, “Real-time 3D sensing and identification of microorganisms,” Opt. Photon. News Magazine 17, 16–21 (2006).

[CrossRef]

B. Javidi, I. Moon, S. Yeom, and E. Carapezza, “Three-dimensional imaging and recognition of microorganism using single-exposure on-line (SEOL) digital holography,” Opt. Express 13, 4492–4506 (2005).

[CrossRef]
[PubMed]

A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, “Three dimensional imaging and display using computational holographic imaging,” Proc. IEEE 94, 636–654 (2006).

[CrossRef]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

C. Fraley and A. E. Raftery, “Model-based clustering, discriminant analysis and density estimation,” J. Am. Stat. Assoc. 97, 611–631 (2002).

[CrossRef]

J. D. Banfield and A. E. Raftery, “Model-based Gaussian and non-Gaussian clustering,” Biometrics 49, 803–821 (1993).

[CrossRef]

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

[CrossRef]
[PubMed]

A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statistical Soc. B 39, 1–38 (1977).

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

G. Frahling and C. Sohler, “A fast k-means implementation using coresets,” in Proceedings of the Twenty-Second Annual Symposium on Computational Geometry (SoCG) (Association for Computing Machinery, 2006), pp. 135–143.

I. Moon, M. Daneshpanah, B. Javidi, and A. Stern, “Automated three dimensional identification and tracking of micro/nano biological organisms by computational holographic microscopy,” Proc. IEEE 97, 990–1010 (2009).

[CrossRef]

Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, “Three dimensional imaging and display using computational holographic imaging,” Proc. IEEE 94, 636–654 (2006).

[CrossRef]

J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-means clustering algorithm,” J. Royal Statistical Soc. C 28, 100–108(1979).

[CrossRef]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

J. Laurie, D. Wyncoll, and C. Harrison, “New versus old blood—the debate continues,” Crit. Care 14, 130–131 (2010).

[CrossRef]
[PubMed]

B. Javidi, I. Moon, and S. Yeom, “Real-time 3D sensing and identification of microorganisms,” Opt. Photon. News Magazine 17, 16–21 (2006).

[CrossRef]

B. Javidi, I. Moon, S. Yeom, and E. Carapezza, “Three-dimensional imaging and recognition of microorganism using single-exposure on-line (SEOL) digital holography,” Opt. Express 13, 4492–4506 (2005).

[CrossRef]
[PubMed]

F. Dubois, L. Joannes, and J.-C. Legros, “Improved three-dimensional imaging with digital holography microscope using a partial spatial coherent source,” Appl. Opt. 38, 7085–7094(1999).

[CrossRef]

A. J. Berger, T. W. Koo, I. Itzkan, G. Horowitz, and M. S. Feld, “Multicomponent blood analysis by near-infrared Raman spectroscopy,” Appl. Opt. 38, 2916–2926 (1999).

[CrossRef]

E. Cuche, P. Marquet, and C. Depeursinge, “Simultaneous amplitude and quantitative phase contrast microscopy by numerical reconstruction of Fresnel off-axis holograms,” Appl. Opt. 38, 6994–7001 (1999).

[CrossRef]

T. Colomb, E. Cuche, F. Charrière, J. Kühn, N. Aspert, P. Marquet, and C. Depeursinge, “Automatic procedure for aberration compensation in digital holographic microscopy and application to specimen shape compensation,” Appl. Opt. 45, 851–863 (2006).

[CrossRef]
[PubMed]

T. Nomura, S. Murata, E. Nitanai, and T. Numata, “Phase-shifting digital holography with a phase difference between orthogonal polarizations,” Appl. Opt. 45, 4873–4877 (2006).

[CrossRef]
[PubMed]

J. D. Banfield and A. E. Raftery, “Model-based Gaussian and non-Gaussian clustering,” Biometrics 49, 803–821 (1993).

[CrossRef]

J. Laurie, D. Wyncoll, and C. Harrison, “New versus old blood—the debate continues,” Crit. Care 14, 130–131 (2010).

[CrossRef]
[PubMed]

B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti, and P. Marquet, “Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy and coulter counter,” Cytometry Part A 73, 895–903(2008).

[CrossRef]

A. R. Moradi, M. K. Ali, M. Daneshpanah, A. Anand, and B. Javidi, “Detection of calcium-induced morphological changes of living cells using optical traps,” IEEE Photonics J. 2, 775–783 (2010).

[CrossRef]

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Trans. Pattern Anal. Machine Intell. 24, 881–892 (2002).

[CrossRef]

C. Fraley and A. E. Raftery, “Model-based clustering, discriminant analysis and density estimation,” J. Am. Stat. Assoc. 97, 611–631 (2002).

[CrossRef]

S. Borah and M. K. Ghose, “Performance analysis of AIM-K-means & K-means in quality cluster generation,” J. Comp. 1, 175–178 (2009).

I. Moon and B. Javidi, “3D identification of stem cells by computational holographic imaging,” J. R. Soc. Interface 4, 305–313 (2007).

[CrossRef]
[PubMed]

A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statistical Soc. B 39, 1–38 (1977).

J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-means clustering algorithm,” J. Royal Statistical Soc. C 28, 100–108(1979).

[CrossRef]

C. G. Koch, L. Li, D. I. Sessler, P. Figueroa, G. A. Hoeltge, T. Mihaljevic, E. H. Blackstone, “Duration of red-cell storage and complications after cardiac surgery,” N. Engl. J. Med. 358, 1229–1239 (2008).

[CrossRef]
[PubMed]

P. Ferraro, S. De Nicola, G. Coppola, A. Finizio, D. Alfieri, and G. Pierattini, “Controlling image size as a function of distance and wavelength in Fresnel-transform reconstruction of digital holograms,” Opt. Lett. 29, 854–856 (2004).

[CrossRef]
[PubMed]

Y. Zhang, G. Pedrini, W. Osten, and H. J. Tiziani, “Reconstruction of in-line digital holograms from two intensity measurements,” Opt. Lett. 29, 1787–1789 (2004).

[CrossRef]
[PubMed]

P. Marquet, B. Rappaz, E. Cuche, T. Colomb, Y. Emery, C. Depeursinge, and P. Magistretti, “Digital holography microscopy a non-invasive quantitative contrast imaging technique allowing visualization of living cells,” Opt. Lett. 30468–470(2005).

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