Dima, A. a et al., 2011. Comparison of segmentation algorithms for fluorescence microscopy images of cells. Cytometry. Part A : the journal of the International Society for Analytical Cytology, 79(7), pp.545-59. Available at: http://www.ncbi.nlm.nih.gov/pubmed/21674772 [Accessed September 20, 2011]. Ko, B.C., Gim, J.-W. & Nam, J.-Y., 2011. Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snake. Micron (Oxford, England : 1993), 42(7), pp.695-705. Available at: http://www.ncbi.nlm.nih.gov/pubmed/21530280 [Accessed September 18, 2011]. Korzynska, A. et al., 2007. Segmentation of microscope images of living cells. Pattern Analysis and Applications, 10(4), pp.301-319. Available at: http://www.springerlink.com/index/10.1007/s10044-007-0069-7 [Accessed August 23, 2011]. Lin, G. et al., 2007. A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images. Cytometry. Part A : the journal of the International Society for Analytical Cytology, 71(9), pp.724-36. Available at: http://www.ncbi.nlm.nih.gov/pubmed/17654650 [Accessed June 13, 2011]. McCullough, D.P. et al., 2008. Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming. IEEE transactions on medical imaging, 27(5), pp.723-34. Available at: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2730109&tool=pmcentrez&rendertype=abstract. Nilsson, B. & Heyden, A., 2005. Segmentation of complex cell clusters in microscopic images: application to bone marrow samples. Cytometry. Part A : the journal of the International Society for Analytical Cytology, 66(1), pp.24-31. Available at: http://www.ncbi.nlm.nih.gov/pubmed/15915504 [Accessed August 1, 2011].