Literature DB >> 26812825

Influence of chamber type integrated with computer-assisted semen analysis (CASA) system on the results of boar semen evaluation.

D Gączarzewicz.   

Abstract

The objective of the study was to evaluate the effect of different types of chambers used in computer-assisted semen analysis (CASA) on boar sperm concentration and motility parameters. CASA measurements were performed on 45 ejaculates by comparing three commonly used chambers: Leja chamber (LJ), Makler chamber (MK) and microscopic slide-coverslip (SL). Concentration results obtained with CASA were verified by manual counting on a Bürker hemocytometer (BH). No significant differences were found between the concentrations determined with BH vs. LJ and SL, whereas higher (p<0.01) values of this parameter were obtained with MK. Compared to MK and SL, significantly higher values were recorded in LJ for velocity (VCL and VAP) as well as amplitude of the lateral head displacement (ALH) and beat cross frequency (BCF), which was associated with significantly higher percentages of motile, progressively motile and rapidly progressive motile spermatozoa. Higher values for the linearity (LIN) and straightness (STR) of sperm movement were obtained for the analysis performed in MK and SL. In both these chambers, the results of all the linearity and kinetic parameters of sperm were similar (p>0.05). The results obtained show that CASA assessment of boar semen should account for the effect of counting chamber on the results of sperm motility and concentration, which confirms the need for further study on standardizing the automatic analysis of boar semen.

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Year:  2015        PMID: 26812825     DOI: 10.1515/pjvs-2015-0106

Source DB:  PubMed          Journal:  Pol J Vet Sci        ISSN: 1505-1773            Impact factor:   0.821


  1 in total

1.  Comparison of NUCLEOCOUNTER, ANDROVISION with Leja chambers and the newly developed ANDROVISION eFlow for sperm concentration analysis in boars.

Authors:  Rudolf Grossfeld; Julia Pable; Ulrike Jakop; Christian Simmet; Martin Schulze
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

  1 in total

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