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dc.contributor.authorMaree, Liana
dc.contributor.authorvan der Horst, Gerhard
dc.date.accessioned2017-08-07T10:34:08Z
dc.date.available2017-08-07T10:34:08Z
dc.date.issued2013
dc.identifier.citationMaree, L. & van der Horst, G. (2013). Quantification and identification of sperm subpopulations using computer-aided sperm analysis and species-specific cut-off values for swimming speed. Biotechnic & Histochemistry, 88(3-4): 181-193en_US
dc.identifier.issn1052-0295
dc.identifier.urihttp://hdl.handle.net/10566/3120
dc.identifier.urihttp://dx.doi.org/10.3109/10520295.2012.757366
dc.description.abstractMotility is an essential characteristic of all fl agellated spermatozoa and assessment of this parameter is one criterion for most semen or sperm evaluations. Computer-aided sperm analysis (CASA) can be used to measure sperm motility more objectively and accurately than manual methods, provided that analysis techniques are standardized. Previous studies have shown that evaluation of sperm subpopulations is more important than analyzing the total motile sperm population alone. We developed a quantitative method to determine cut-off values for swimming speed to identify three sperm subpopulations. We used the Sperm Class Analyzer ® (SCA) CASA system to assess the total percentage of motile spermatozoa in a sperm preparation as well as the percentages of rapid, medium and slow swimming spermatozoa for six mammalian species. Curvilinear velocity (VCL) cut-off values were adjusted manually for each species to include 80% rapid, 15% medium and 5% slow swimming spermatozoa. Our results indicate that the same VCL intervals cannot be used for all species to classify spermatozoa according to swimming speed. After VCL intervals were adjusted for each species, three unique sperm subpopulations could be identifi ed. The effects of medical treatments on sperm motility become apparent in changes in the distribution of spermatozoa among the three swimming speed classes.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rightsThis is the author-version of the article published online at: http://dx.doi.org/10.3109/10520295.2012.757366
dc.subjectCASAen_US
dc.subjectCurvilinear velocityen_US
dc.subjectMammalsen_US
dc.subjectSperm classificationen_US
dc.subjectSperm motilityen_US
dc.titleQuantification and identification of sperm subpopulations using computer-aided sperm analysis and species-specific cut-off values for swimming speeden_US
dc.typeArticleen_US
dc.privacy.showsubmitterFALSE
dc.status.ispeerreviewedTRUE
dc.description.accreditationWeb of Science


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