Proper use and impact of ‘Computer Assisted Semen Analysis’ technique on semen evaluation of farm animals
Abstract
Objective of this review is to present the use of ‘Computer Assisted Semen Analysis’ technique application in farm animal health management, in particular the steps for accurate semen evaluation and the impact of the method in predicting male animal fertility under field conditions. Requirements for proper use of the equipment, factors affecting the evaluation process and the role of the estimated parametres for fertility under field conditions are described. Special reference is made in sperm motility evaluation. It is concluded that the method is an effective and efficient tool for semen evaluation, provided good practices are strictly applied and adhered to, by means of which valid results may be obtained.
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MICHOS (H.Α. ΜΙΧΟΣ) I. A., BASIOURA (Α.Γ. ΜΠΑΣΙΟΥΡΑ) A. G., BOSCOS (Κ.M. ΜΠΟΣΚΟΣ) C. M., & TSAKMAKIDIS (Ι.Α. ΤΣΑΚΜΑΚΙΔΗΣ) I. A. (2017). Proper use and impact of ‘Computer Assisted Semen Analysis’ technique on semen evaluation of farm animals. Journal of the Hellenic Veterinary Medical Society, 64(4), 267–274. https://doi.org/10.12681/jhvms.15506
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- V. 64 N. 4 (2013)
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- Review Articles
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Riferimenti bibliografici
Andersson M, Hellman T, Holmstrom BG, Jokinen L (1992) Computerized and subjective assessments of post-thaw motility
of semen from Finnish Ayrshire AI bulls in relation to non-return rates. Acta Vet Scand 33:89-93.
Blondin P, Beaulieu M, Fournier V, Morin N, Crawford L, Madan P, King WA (2009) Analysis of bovine sexed sperm for IVF from
sorting to the embryo. Theriogenology 71:30-38.
Broekhuijse ML WJ, Šoštaric E, Feitsma H, Gadella BM (2011) Additional value of computer assisted semen analysis (CASA)
compared to conventional motility assessments in pig artificial insemination. Theriogenology 76:1473-1486.
Broekhuijse ML WJ, Šoštaric E, Feitsma H, Gadella BM (2012) Application of computer-assisted semen analysis to explain variations in pig fertility. J Anim Sci 90:779-789.
Budworth PR, Ammann RP, Hamerstedt RH (1987) A microcomputer-photographic method for evaluation of motility and velocity in bull sperm. J Dairy Sci 70:1927-1936.
Burkitt M, Walker D, Romano DM, Fazeli A (2011) Using computational modeling to investigate sperm navigation and behavior in the female reproductive tract. Theriogenology 77: 703–716.
Burkman LJ (1991) Discrimination between non hyperactivated and classical hyperactivity motility patterns in human spermatozoa using computerized image analysis. Fertil Steril 55:363-371.
Castellini C, Dal Bosco A, Ruggeri S, Collodel G (2011) What is the best frame rate for evaluation of sperm motility in different species by computer-assisted sperm analysis? Fertil Steril 96:24-27.
Contri A, Valorz C, Faustini M, Wegher L, Carluccio A (2010) Effect of semen preparation on casa motility results in cryopreserved bull spermatozoa. Theriogenology 74: 424-435.
Cox JF, Alfaro V, Montenegro V, Rodriguez-Martinez H (2006) Computer-assisted analysis of sperm motion in goats and its relationship with sperm migration in cervical mucus. Theriogenology 66:860-867.
Davis R, Katz D (1992) Standardization and Comparability of CASA Instruments. J Androl 13:81-86.
Didion BA (2008) Computer-assisted semen analysis and its utility for profiling boar semen samples Theriogenology 70:1374-1376.
Donnelly ET, Lewis SE, McNally JA, Thompson W (1998) In vitro fertilization and pregnancy rates: the influence of sperm motility and morphology on IVF outcome. Fertil Steril 70:305-314.
Dott HM, Foster GC (1979) The estimation of sperm motility in semen, on a membrane slide, by measuring the area change frequency with an image analyzing computer. J Reprod Fertil 55:161-166.
Ehlers J, Behr M, Bollwein H, Beyerbach, Waberski D (2011) Standardization of computer-assisted semen analysis using an e-learning application. Theriogenology 76:448-454.
Farrel PB, Foote RH, McArdle MM, Trouern-Trend VL, Tardif AL (1996) Media and dilution procedures tested to minimize handling effects on human, rabbit, and bull sperm for Computer-Assisted Sperm Analysis (CASA). J Androl 17:293-300.
Farrel PB, Presicce GA, Brockett CC, Foote RH (1998) Quantification of bull sperm characteristics measured by computer-
assisted sperm analysis (CASA) and the relationship to fertility. Theriogenology 49:871–879.
Feitsma H, Broekhuijse MLWJ, Gadella BM, (2011) Do CASA systems satisfy consumers demands? A critical analysis. Reprod Domest Anim 46:49–51.
Furstoss V, Borderes F, Forgerit Y, Guillouet P, Leboeuf B (2010) The value of the percentage of motile sperm in predicting a significant portion of the fertility variation of frozen-thawed buck semen. Theriogenology 74:1197-1206.
Gil MC, Garcia-Herreros M, Baron FJ, Aparicio IM, Santos AJ, Garcia-Marin LJ (2009) Morphometry of porcine spermatozoa and its functional significance in relation with the motility parameters in fresh semen. Theriogenology 71:254-263.
Gillan L, Kroetsch T, Maxwell WM, Evans G (2008) Assessment of in vitro sperm characteristics in relation to fertility in dairy bull. Anim Reprod Sci 103:201-214.
Gravance CG, Davis RO (1995) Automated sperm morphometry analysis (ASMA) in the rabbit. J Androl 16:88-93.
Holt C, Holt WV, Moore HDM, Reed HCB, Curnock RM (1997) Objectively measured boar sperm motility parameters correlate with the outcomes of on-farm inseminations: results of two fertility trials. J Androl 18:312–323.
Holt WV, Palomo MJ (1996) Optimization of a continuous real time computerized semen analysis system for ram sperm motility assessment, and evaluation of four methods of semen preparation. Reprod Fertil Dev 8:219-230.
Januskauskas A, Johannisson A, Soderquist L, Rodriguez-Martinez H (2000) Assessment of sperm characteristics post-thaw and response to calcium ionophore in relation to fertility in Swedish dairy AI bulls. Theriogenology 53:859-875.
JØrgensen N, Auger J, Giwercman A, Irvine DS, Jensen TK, Jouannet P, Keiding N, Le Bon C, MacDonald E, Pekuri AM, Scheike T, Simonsen M, Suominen J, Skakkeboek NE (1997) Semen analysis performed by different laboratory teams: an intervariation study. Int J Androl 62:1277-1282.
Kathiravan P, Kalatharan J, Edwin MJ, Veerapandian C (2008) Computer automated motion analysis of crossbred bull spermatozoa and its relationship with in vitro fertility in zona-free hamster oocytes. Anim Reprod Sci 104:9-17.
Kathiravan P, Kalatharan J, Karthikeya G, Rengarajan K and Kadirvel G (2011) Objective sperm motion analysis to assess dairy bull fertility using computer-aided system–a review. Reprod Domest Anim 46:165-172.
Lenz RW, Kjelland ME, VonderHaar K, Swannack TM, Moreno JF (2011) A comparison of bovine seminal quality assessments using different viewing chambers with a computer-assisted semen analyzer. J Anim Sci 89:383-388.
Mortimer ST (1997) A critical review of the physiological importance and analysis of sperm movement in mammals. Hum Reprod 3:403-439.
Mortimer D, Mortimer ST (1988) Influence of system parameter settings on human sperm motility analysis using CellSoft. Hum
Reprod 3:621-625.
Mortimer ST (2000) CASA-practical aspects andrology lab corner. J Androl 21:515-524.
Neuwinger J, Behre HM, Nieschlag E (1990) Computerized semen analysis with sperm tail detection. Hum Reprod 5:719-723.
Oliveira LZ, Arruda R, Andrade A, Celeghini E, Reeb P, Martins J, Santos R, Beletti M, Perew R, Monteiro F, Lima V (2013) Assessment of in vitro characteristics and their importance in the prediction of conception rate in a bovine timed-AI program. Anim Reprod Sci 137:145-155.
Rijsselaere T, Van Soom A, Maes D, Kruif de A (2002) Use of the sperm quality analyzer (SQA II-C) for the assessment of dog
sperm quality. Reprod Domest Anim 37:158-163.
Rijsselaere T, Van Soom A, Maes D, Kruif de A (2003) Effect of technical settings on canine semen motility parameters measured by Hamilton-Thorne analyzer. Theriogenology 60:1553-1568.
Robayo I, Montenegro V, Valdis C, Cox JF (2008) CASA assessment of kinematic parameters of ram spermatozoa and their relationship to migration efficiency in ruminant cervical mucus. Reprod Domest Anim 43:393-399.
Schillo KK (2009) Reproductive Physiology of Mammals. From Farm to Field and Beyond. Delmar Cencage Learning, Independence, KY.
Schmidt H, Kamp G (2004) Induced hyperactivity in boar spermatozoa and its evaluation by computer-assisted sperm analysis. Reproduction 128:171-179.
Smith JF, Parr J, Murray GR, Clarke AG, McDonald RM, Duganzich DM (1998) Relationship between laboratory measures of ram sperm competence and field fertility. Proceedings of the New Zealand Society of Animal Production vol. 58, pp. 181–185.
Sukcharoen N, Keith J, Irvine DS, Aitken RJ (1995) Predicting the fertilization potential of human sperm suspensions in vitro: importance of sperm morphology and leukocyte contamination. Fertil Steril 63:1293-1300.
Sukcharoen N, Sithipravej T, Promviengchai S, Chinpilas V, Boonkasemsanti W (1998) Sperm morphology evaluated by computer (IVOS) cannot predict the fertilization rate in vitro after intra-cytoplasmic sperm injection. Fertil Steril 69:564-568.
Suzuki K, Nagai T (2003) In vitro fertility and motility characteristics of frozen-thawed boar epididymal spermatozoa separated by Percoll. Theriogenology 60:1481-1494.
Tsakmakidis IA (2010) Ram semen evaluation: development and efficiency of modern techniques. Small Rumin Res 92:126-130.
Verstegen J, Iguer-Ouada M, Onclin K (2002) Computer assisted semen analyzers in andrology research and veterinary practice. Theriogenology 57:149-179.
Wijchman JG, De Wolf BTHM, Jager S (1995) Evaluation of a computer-aided semen analysis system with sperm tail detection.
Hum Reprod 10:2090-2095.
World Health Organization (2010) WHO Laboratory Manual for the Examination and Processing of Human Semen, 5th edn. World Health Organization, Geneva.
Zinaman MJ, Uhler ML, Vertuno E, Fisher SG, Clegg ED (1996) Evaluation of computer-assisted semen analysis (CASA) with IDENT stain to determine sperm concentration. J Androl 17:288-292.
