identification of bovine sperm head for morphometry analysis in quantitative phase-contrast...

Identification of bovine sperm head for morphometry analysis in quantitative phase-contrast holographic microscopy P. Memmolo, 1,3,* G. Di Caprio, 4 C. Distante, 2 M. Paturzo, 1 R. Puglisi, 5 D. Balduzzi, 5 A. Galli, 5 G. Coppola, 4 and P. Ferraro 1 1 CNR—Istituto Nazionale di Ottica, via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy 2 CNR—Istituto Nazionale di Ottica, viale della Libertà 3, 73010 Arnesano (LE), Italy 3 DIBET, Università d egli Studi di Napoli “ Federico I I”, via Cl audio 21, 801 25 Napoli, It aly 4 CNR—Istituto per la Microelettronica e Microsistemi,via Pietro Castellino 111, 80131 Napoli, Italy 5 Istituto Sper imentale Italiano “L azzaro Spallanz ani”, local ità La Quercia, 260 27 Rivolta d'Adda (CR) , Italy *[email protected] Abstract: An investigation is reported of the identification and measurement of region of interest (ROI) in quantitative phase-contrast maps of biological cells by digital holographic microscopy. In particular, two different methods have been developed for in vitro bull sperm head morphometry analysis. We show that semen analysis can be accomplished by means of the proposed techniques . Extraction and measurement of various parameters are performed. It is demonstrated that both proposed methods are efficient to skim the data set in a preselective analysis for discarding anomalous data. ©2011 Optical Society of America OCIS codes: (170.1530) Cell analysis; (100.5070) Phase retrieval; (180.3170) Interference microscopy; (090.1995) Digital holography; (100.2000) Digital ima ge processing. References and links 1. T. F. Kruger, T. C. DuT oit, D. R. Franken, A. A . Acosta, S. C. Oehninger, R. Menkveld, and C. J. Lombard, “A new computerized method of reading sperm morphology (strict criteria) is as efficient as technician reading,” Fertil. Steril. 59(1), 202–209 (1993). 2. D. J. Jasko, D . H. Lein, and R. H. Foote, “Determination of the relationship between sperm morpho logic classifications and fertility in stallions: 66 cases (1987-1988),” J. Am. Vet. Med. Assoc. 197(3), 389–394 (1990). 3. V. O. Sekoni and B. K. G ustafsson, “Seasonal variations in the incidence of sperm morphological ab normalities in dairy bulls regularly used for artificial insemination,” Br. Vet. J. 143(4), 312–317 (1987). 4. J. M. DeJarnette, R. G. Saacke, J. Bame, and C. J. Vogler, “A ccessory sperm: their importance to fertility and embryo quality, and attempts to alter their numbers in artificially inseminated cattle,” J. Anim. Sci. 70(2), 484– 491 (1992). 5. M. C. Ko t and M. A. H andel, “Binding of morphologically abnormal sperm to mouse egg zonae pellucidae in vitro,” Gamete Res. 18(1), 57–66 (1987). 6. I. C. Macleod a nd D. S. I rvine, “The predictive value of computer-assisted semen analysis in the context o f a donor insemination programme,” Hum. Reprod. 10(3), 580–586 (1995). 7. D. F. Katz, J. W. Overstreet, S. J. Samuels, P. W. N iswander, T. D. Bloom, and E. L. Lewis, “Morpho metric analysis of spermatozoa in the assessment of human male fertilit y,” J. Androl. 7(4), 203–210 (1986). 8. G. No marski, “Differential microinterferometer with polarized waves,” J. Phys. Radium 16, 9S–13S (1955). 9. F. Zernike, “How I discovered phase contrast,” Science 121(3141), 345–349 (1955). 10. G. Di Caprio, M. A. Gioffré, N. Saffioti, S. Grilli, P. Ferraro, R. Puglisi, D. Balduzzi, A. Galli, and G. Coppola, “Quantitative label-free animal sperm imaging by means of digital holographic microscopy,” IEEE J. Sel. Top. Quantum Electron. 16(4), 833–840 (2010). 11. R. Puglisi, L. Krvavac, C. Bonacina, and A. Galli, “In vitro competitive binding index using fluorochrome- labelled spermatozoa for predicting bull fertility,” Zygote 18(04), 281–291 (2010). 12. J. Canny, “A computational appro ach to edge detection,” IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8(6), 679–698 (1986). 13. R. C. Gonz alez and R. E. Woods, Digital I mage Pro cessing, 2nd ed. (Addison-Wesley Longman, Boston, 1992). 14. M. A. Anastasio and X. Pan, “ Region-of-interest imaging in differe ntial phase-contrast tomography,” Opt. Lett. 32(21), 3167–3169 (2007). 15. M. Guven, B. Yazici, X. Intes, and B. Chance, “An adaptive multigrid algorithm for region of interest diffuse optical tomography,” in 2003 International Conference on Image Processing, 2003. ICIP 2003. Proceedings (2003), Vol. 3, pp. II - 823–6. #150 508 - $15.00 USD Rece ived 5 Jul 2011; revised 11 Aug 201 1; ac cept ed 12 Aug 2011; pub lish ed 1 Nov 2011 (C) 2011 OSA 7 November 2011 / Vol. 19, No. 23 / OPTICS EXPRESS 23215

identification of bovine sperm head for morphometry analysis in quantitative phase-contrast...

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