view - Department of Reproduction, Obstetrics and Herd Health
view - Department of Reproduction, Obstetrics and Herd Health
view - Department of Reproduction, Obstetrics and Herd Health
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5.1<br />
Semen (motility) Analysis<br />
180<br />
Spermatozoal motility is likely to remain one <strong>of</strong> the hallmarks <strong>of</strong> semen evaluation (Varner,<br />
2008). Still, the wide variety in settings <strong>and</strong> the use <strong>of</strong> many different chambers described in<br />
literature clearly indicates that objective motility analysis does not equal st<strong>and</strong>ardized analysis.<br />
5.1.1. Technical settings in CASA systems<br />
The results from this thesis clearly state the influence <strong>of</strong> different motility settings when<br />
using computer assisted sperm analysis (CASA) for the analysis <strong>of</strong> equine semen motility (Chapter<br />
3.1). Although this influence had not been described previously, these findings are not surprising <strong>and</strong><br />
can be easily explained. Analysis by means <strong>of</strong> CASA is based on the relative position changes <strong>of</strong> the<br />
head <strong>of</strong> a sperm cell as illustrated in Fig.1. As such, different trajectory parameters are calculated,<br />
which are used to determine a sperm cell as being motile, progressive motile or static. It is logical<br />
that changing the cut-<strong>of</strong>f values (low <strong>and</strong> medium VAP cut-<strong>of</strong>f <strong>and</strong> STR) will result in changes <strong>of</strong> the<br />
outcomes. After all, a sperm cell with a VAP <strong>of</strong> 30µm/s <strong>and</strong> a STR <strong>of</strong> 50% is progressive motile<br />
according to the settings <strong>of</strong> Varner’s lab (Waite et al., 2008), whereas according to the settings <strong>of</strong><br />
Loomis <strong>and</strong> Graham (2008) this same sperm cell would be assigned as motile. For analysis <strong>of</strong> equine<br />
semen, more than ten different motility settings have been reported (re<strong>view</strong>ed in the general<br />
introduction). For other species the variety in technical settings is as wide. The importance <strong>of</strong><br />
agreement <strong>of</strong> settings will become more pressing when global guidelines on AI doses would be<br />
established.<br />
Additionally, it is not completely clear how CASA systems from different manufacturers calculate<br />
motility, progressive motility <strong>and</strong> subdivide sperm populations into rapid, medium <strong>and</strong> slow (WHO,<br />
2010). Two different CASA systems (Ceros Hamilton-Thorn <strong>and</strong> ISAS Proiser) reported slightly<br />
different results, although analyses <strong>of</strong> the same samples agreed well when using the same settings<br />
<strong>and</strong> counting chamber (Hoogewijs, unpublished data). It should not be difficult to persuade the<br />
industry to imply the same mathematical calculations in their device, once the <strong>and</strong>rologists have<br />
come to an agreement. After all, non-conformity could result in non-approval <strong>of</strong> the devices from<br />
that company.