Analyses of Morphological and Morphometrical Deviations of Bull Spermatozoa by Computer Assisted Semen Analysis Technique

Sundararaman, M.N.; Kalatharan, J.; Jawahar, K. Thilak Pon

doi:10.3923/ajava.2007.196.204

Cited by 3 publications

(1 citation statement)

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“…Previous studies (Gravance et al 2009, Sellem et al 2015 in bulls have shown the relationship between CASA-based morphology and fertility. CASA determination of abnormally shaped sperm cells is less likely to progress through the female reproductive tract and fertilize the oocytes (Sundararaman et al 2007). A high correlation (r=0.762, P=0.010) was observed between sperm morphology analyzed by CASA and fertility in bulls (Gillan et al 2008).…”

Section: Importance Of Casa-based Sperm Morphology In Fertilitymentioning

confidence: 90%

Computer-assisted sperm analysis (CASA) in veterinary science: A review

Singh

Kumar

Bisla

2021

Indian J of Anim Sci

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Computer-assisted sperm analysis (CASA) allows an assessment of sperm motion and morphology more accurately and objectively than by subjective evaluation. Although, CASA instruments have improved significantly during last 40 years especially in terms of software, image capture and computer settings, little has changed regarding processes for analyzing sperm motion attributes. The main problem is related to validation, consistency and optimization of equipment and procedures. Differences among CASA systems denote problems of objective analysis of results between different semen processing units. If validated, CASA systems can provide a great tool to objectively compare sperm motility and morphology. Sperm motility is one of the indicators most evaluated before and after cryopreservation vis-à-vis quality and fertilizing ability. Researchers have determined a possible relationship of CASA outputs with bull fertility in vivo; however, a clear association has not yet been confirmed. Most CASA measures depend upon concentration, sample volume, type of extender, duration of analysis and thawing temperature. For each attribute, CASA software should provide outputs based on a range rather than means or medians for transformed data. The current review describes development, validation requirements, limitations and future expansions associated with CASA technology.

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