Development of computer-assisted sperm analysis plugin for analyzing sperm motion in microfluidic environments using Image-J

Theriogenology

Volumn 84, Issue 8, 2015, Pages 1367-1377

  Elsayed, Mohamed ^a,d   El Sherry, Taymour M ^b   Abdelgawad, Mohamed ^a,c  

^a Assiut University   (Egypt)

^b Assiut University   (Egypt)

^c ZEWAIL CITY OF SCIENCE AND TECHNOLOGY   (Egypt)

^d AMERICAN UNIVERSITY IN CAIRO   (Egypt)

Author keywords

Computer assisted sperm analysis; Image processing; Microfluidics; Open source; Particle tracking; Sperm analysis

Indexed keywords

ANIMAL; BOVINE; CHICKEN; CYTOLOGY; HUMAN; IMAGE PROCESSING; MALE; MICROFLUIDICS; PHYSIOLOGY; PROCEDURES; SEMEN ANALYSIS; SPERMATOZOON; VETERINARY;

ANIMALS; CATTLE; CHICKENS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MICROFLUIDICS; SEMEN ANALYSIS; SPERMATOZOA;

EID: 84943450780     PISSN: 0093691X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.theriogenology.2015.07.021     Document Type: Article

References (66)

1. Suarez S.S. How do sperm get to the egg? Bioengineering expertise needed!. Exp Mech 2010, 50:1267-1274.
2. Mortimer S.T. A critical review of the physiological importance and analysis of sperm movement in mammals. Hum Reprod Update 1997, 3:403-439.
3. Sackmann E.K., Fulton A.L., Beebe D.J. The present and future role of microfluidics in biomedical research. Nature 2014, 507:181-189.
4. Schuster T.G., Cho B., Keller L.M., Takayama S., Smith G.D. Isolation of motile spermatozoa from semen samples using microfluidics. Reprod Biomed Online 2003, 7:75-81.
5. Smith G.D., Takayama S. Gamete and embryo isolation and culture with microfluidics. Theriogenology 2007, 68:S190-S195.
6. Seo D-b, Agca Y., Feng Z., Critser J. Development of sorting, aligning, and orienting motile sperm using microfluidic device operated by hydrostatic pressure. Microfluid Nanofluid 2007, 3:561-570.
7. Lopez-Garcia M., Monson R., Haubert K., Wheeler M., Beebe D. Sperm motion in a microfluidic fertilization device. Biomed Microdevices 2008, 10:709-718.
8. Amann R.P., Waberski D. Computer-assisted sperm analysis (CASA): capabilities and potential developments. Theriogenology 2014, 81:5-17.
9. Awad M.M. Effect of some permeating cryoprotectants on CASA motility results in cryopreserved bull spermatozoa. Anim Reprod Sci 2011, 123:157-162.
10. Contri A., Valorz C., Faustini M., Wegher L., Carluccio A. Effect of semen preparation on CASA motility results in cryopreserved bull spermatozoa. Theriogenology 2010, 74:424-435.
11. Leite T.G., do Vale Filho V.R., de Arruda R.P., Cesar de Andrade A.F., Emerick L.L., Zaffalon F.G., et al. Effects of extender and equilibration time on post-thaw motility and membrane integrity of cryopreserved Gyr bull semen evaluated by CASA and flow cytometry. Anim Reprod Sci 2010, 120:31-38.
12. Morillo Rodriguez A., Balao da Silva C., Macías-García B., Gallardo Bolaños J.M., Tapia J.A., Aparicio I.M., et al. Dimethylformamide improves the in vitro characteristics of thawed stallion spermatozoa reducing sublethal damage. Reprod Domest Anim 2012, 47:995-1002.
13. Mohammad S.N., Barratt C.L.R., Cooke I.D., Moore H.D.M. Direct assessment of cryopreservation of human spermatozoa using a cryomicroscope and computer-aided sperm analysis. Hum Reprod 1996, 11:2687-2692.
14. Farrell P.B., Foote R.H., McArdle M.M., TrouernTrend V.L., Tardif A.L. Media and dilution procedures tested to minimize handling effects on human, rabbit, and bull sperm for computer-assisted sperm analysis (CASA). J Androl 1996, 17:293-300.
15. López A., Rijsselaere T., Van Soom A., Leroy J., De Clercq J.B.P., Bols P.E.J., et al. Effect of organic selenium in the diet on sperm quality of boars. Reprod Domest Anim 2010, 45:e297-e305.
16. Hoflack G., Opsomer G., Rijsselaere T., Van Soom A., Maes D., de Kruif A., et al. Comparison of computer-assisted sperm motility analysis parameters in semen from Belgian Blue and Holstein-Friesian bulls. Reprod Domest Anim 2007, 42:153-161.
17. Masenya M.B., Mphaphathi M.L., Mapeka M.H., Munyai P.H., Makhafola M.B., Ramukhithi F.V., et al. Comparative study on semen characteristics of Kolbroek and Large White boars following computer aided sperm analysis (R) (CASA). Afr J Biotechnol 2011, 10:14223-14229.
18. Chatiza F.P., Bartels P., Nedambale T.L., Wagenaar G.M. Computer assisted sperm analysis of motility patterns of postthawed epididymal spermatozoa of springbok (Antidorcas marsupialis), impala (Aepyceros melampus), and blesbok (Damaliscus dorcas phillipsi) incubated under conditions supporting domestic cattle in vitro fertilization. Theriogenology 2012, 78:402-414.
19. Saikhun J., Kitiyanant Y., Vanadurongwan V., Pavasuthipaisit K. Effects of sauna on sperm movement characteristics of normal men measured by computer-assisted sperm analysis. Int J Androl 1998, 21:358-363.
20. Mukhopadhyay D., Varghese A.C., Nandi P., Banerjee S.K., Bhattacharyya A.K. CASA-based sperm kinematics of environmental risk factor-exposed human semen samples designated as normozoospermic in conventional analysis. Andrologia 2010, 42:242-246.
21. Betancourt M., Resendiz A., Casas E., Fierro R. Effect of two insecticides and two herbicides on the porcine sperm motility patterns using computer-assisted semen analysis (CASA) in vitro. Reprod Toxicol 2006, 22:508-512.
22. Lackey B.R., Boone W.R., Gray S.L.L., Henricks D.M. Computer-assisted sperm motion analysis of bovine sperm treated with insulin-like growth factor I and II: implications as motility regulators and chemokinetic factors. Arch Androl 1998, 41:115-125.
23. Mortimer S.T., Swan M.A., Mortimer D. Effect of seminal plasma on capacitation and hyperactivation in human spermatozoa. Hum Reprod 1998, 13:2139-2146.
24. De Geyter C., De Geyter M., Koppers B., Nieschlag E. Diagnostic accuracy of computer-assisted sperm motion analysis. Hum Reprod 1998, 13:2512-2520.
25. Albrizio M., Lacalandra G.M., Micera E., Guaricci A.C., Nicassio M., Zarrilli A. Delta opioid receptor on equine sperm cells: subcellular localization and involvement in sperm motility analyzed by computer assisted sperm analyzer (CASA). Reprod Biol Endocrinol 2010, 8:78.
26. Kinutani M. Effects of pentoxifylline on sperm motion characteristics in normozoospermic men defined by a computer-aided sperm analysis. Hiroshima J Med Sci 1999, 48:117-121.
27. Lewis S.E.M., McKinney K.A., Thompson W. Influence of pentoxifylline on human sperm motility in asthenozoospermic individuals using computer-assisted analysis. Arch Androl 1994, 32:175-183.
28. Lewis S.E.M., Moohan J.M., Thompson W. Effects of pentoxifylline on human sperm motility in normospermic individuals using computer-assisted analysis. Fertil Steril 1993, 59:418-423.
29. Grassi G., Cappello N., Gheorghe M.F., Salton L., Di Bisceglie C., Manieri C., et al. Exogenous platelet-activating factor improves the motility of human spermatozoa evaluated with CASA: optimal concentration and incubation time. J Endocrinol Invest 2010, 33:684-690.
30. Rijsselaere T., Van Soom A., Maes D., Nizanski W. Computer-assisted sperm analysis in dogs and cats: an update after 20 years. Reprod Domest Anim 2012, 47:204-207.
31. Wilson-Leedy J.G., Ingermann R.L. Development of a novel CASA system based on open source software for characterization of zebrafish sperm motility parameters. Theriogenology 2007, 67:661-672.
32. Sano H., Matsuura K., Naruse K., Funahashi H. Application of a microfluidic sperm sorter to the in-vitro fertilization of porcine oocytes reduced the incidence of polyspermic penetration. Theriogenology 2010, 74:863-870.
33. Nosrati R., Vollmer M., Eamer L., San Gabriel M.C., Zeidan K., Zini A., et al. Rapid selection of sperm with high DNA integrity. Lab Chip 2014, 14:1142-1150.
34. Chen Y.-A., Huang Z.-W., Tsai F.-S., Chen C.-Y., Lin C.-M., Wo A. Analysis of sperm concentration and motility in a microfluidic device. Microfluid Nanofluid 2011, 10:59-67.
35. Bretherton F.P., Rothschild Rheotaxis of spermatozoa. Proc R Soc Lond Ser B Biol Sci 1961, 153:490-502.
36. Miki K., Clapham David E. Rheotaxis guides mammalian sperm. Curr Biol 2013, 23:443-452.
37. Kantsler V., Dunkel J., Blayney M., Goldstein R.E. Rheotaxis facilitates upstream navigation of mammalian sperm cells. Elife 2014, 3:e02403.
38. Tung C-k, Ardon F., Fiore A.G., Suarez S.S., Wu M. Cooperative roles of biological flow and surface topography in guiding sperm migration revealed by a microfluidic model. Lab Chip 2014, 14:1348-1356.
39. El-Sherry T.M., Elsayed M., Abdelhafez H.K., Abdelgawad M. Characterization of rheotaxis of bull sperm using microfluidics. Integr Biol 2014, 6:1111-1121.
40. Denissenko P., Kantsler V., Smith D.J., Kirkman-Brown J. Human spermatozoa migration in microchannels reveals boundary-following navigation. Proc Natl Acad Sci U S A 2012, 109:8007-8010.
41. Núñez-Martínez I., Moran J.M., Peña F.J. A three-step statistical procedure to identify sperm kinematic subpopulations in canine ejaculates: changes after cryopreservation. Reprod Domest Anim 2006, 41:408-415.
42. Quintero-Moreno A., Rigau T., Rodríguez-Gil J.E. Multivariate cluster analysis regression procedures as tools to identify motile sperm subpopulations in rabbit semen and to predict semen fertility and litter size. Reprod Domest Anim 2007, 42:312-319.
43. Martinez-Pastor F., Jorge Tizado E., Julian Garde J., Anel L., de Paz P. Statistical series: opportunities and challenges of sperm motility subpopulation analysis. Theriogenology 2011, 75:783-795.
44. Boyers S.P., Davis R.O., Katz D.F. Automated semen analysis(Current problems in obstetrics, gynecology and fertility) 1989, Year Book Medical Publishers, Chicago.
45. Purchase C.F., Earle P.T. Modifications to the ImageJ computer assisted sperm analysis plugin greatly improve efficiency and fundamentally alter the scope of attainable data. J Appl Ichthyol 2012, 28:1013-1016.
46. Yilmaz A., Javed O., Shah M. Object tracking: a survey. Acm Comput Surv 2006, 38. http://dx.doi.org/10.1145/1177352.1177355.
47. Zuiderveld K. Contrast limited adaptive histogram equalization. Graphics gems IV 1994, 474-485. Academic Press Professional, Inc., San Diego. S.H. Paul (Ed.).
48. Intille SS, Davis JW, Bobick AF, IEEE Comp SOC. Real-time closed-world tracking. 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings 1997. p. 697-703.
49. Pean S. Image Stack Merger Plus (ImageJ plugin). Available at: Accessed March 29, 2014. http://www.samuelpean.com/image-stack-merger-plus/.
50. Sahoo P.K., Soltani S., Wong A.K.C. A survey of thresholding techniques. Computer Vis Graphics, Image Process 1988, 41:233-260.
51. Kapur J.N., Sahoo P.K., Wong A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram. Computer Vis Graphics, Image Process 1985, 29:273-285.
52. Sauvola J., Pietikäinen M. Adaptive document image binarization. Pattern Recogn 2000, 33:225-236.
53. Kalman R.E. A new approach to linear filtering and prediction problems. J Fluids Eng 1960, 82:35-45.
54. Wu P-H., Agarwal A., Hess H., Khargonekar P.P., Tseng Y. Analysis of video-based microscopic particle trajectories using Kalman filtering. Biophys J 2010, 98:2822-2830.
55. Kuhn H.W. The Hungarian method for the assignment problem. Naval Res Logistic Q 1955, 2:83-97.
56. Rangarajan K., Shah M. Establishing motion correspondence. CVGIP Image Understanding 1991, 54:56-73.
57. Su T.W., Choi I., Feng J., Huang K., McLeod E., Ozcan A. Sperm trajectories form chiral ribbons. Scientific Rep 2013, 3:1664.
58. Veenman C.J., Reinders M.J.T., Backer E. Establishing motion correspondence using extended temporal scope. Artif Intelligence 2003, 145:227-243.
59. Shafique K., Shah M. A non-iterative greedy algorithm for multi-frame point correspondence IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 51-65.
60. Xia Y., Whitesides G.M. Soft lithography. Ann Rev Mater Sci 1998, 28:153-184.
61. Haubert K., Drierb T., Beebe D. PDMS bonding by means of a portable, low-cost corona system. Lab Chip 2006, 6:1548-1549.
62. Munson B.R., Young D.F., Okiishi T.H. Fundamentals of fluid mechanics 2002, Wiley, New York. Fourth edition.
63. Shah R.K., London A.L. Laminar flow forced convection in ducts: a source book for compact heat exchanger analytical data 1978, Academic Press, New York.
64. Ciftci H.B., Zulkadir U. The correlation between bull sperm head dimensions and mitochondrial helix length. J Anim Vet Adv 2012, 9:1169-1172.
65. Castellini C., Dal Bosco A., Ruggeri S., Collodel G. What is the best frame rate for evaluation of sperm motility in different species by computer-assisted sperm analysis?. Fertil Steril 2011, 96:24-27.
66. Boryshpolets S., Kowalski R.K., Dietrich G.J., Dzyuba B., Ciereszko A. Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters. Theriogenology 2013, 80:758-765.