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Morphometric characterization and classification of alpaca sperm heads using the Sperm-Class Analyzer (R) computer-assisted system

机译:使用Sperm-Class Analyzer(R)计算机辅助系统对羊驼精子头部进行形态学表征和分类

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Sperm morphology has been identified as one characteristic which can be useful in the prediction of sperm fertility, therefore, we hope that this study aimed at establishing standardized morphological criteria might serve in future studies dealing with the search for sperm parameters which facilitate an estimation of sperm quality. For this purpose, ejaculates from fertile alpacas were used to evaluate sperm head morphometry by means of the Sperm-Class Analyzer(R) (SCA) computer-aided image analysis system. We defined three morphological categories according to sperm head size (normal 50%, small 26%, large 24%) and five categones according to sperm head shape (normal 47%, pyriform 3%, short 20%, round 1%. long 29%). Sperm classification according to shape was performed by first morphometrically characterizing sperm heads clearly failing into each of the shape categories. Thereafter, discriminant analysis was performed on the data from these typical sperm heads and the resulting classification functions were used to categorize 2200 spermatozoa front I I alpacas. Classification of sperm heads by this method agreed in 88% of the cases with most of the misclassifications being due to pyriform heads classified as long heads. Morphometric values obtained from samples of 50, 100, 150, 175 and 200 sperm heads were compared. At least 150 sperm heads should be evaluated to overcome sample size influence on sperm measurements. Significant differences in sperm morphometry were found between individuals (CV for morphometric parameters ranging from 1.3 to 13.0) and there were marked differences in the sperm morphological composition of the ejaculates. Within-animal CV ranged front 4.7 to 17.8 thus showing the high degree of sperm polymorphism present in the alpaca ejaculate,
机译:精子形态已被确定为可用于预测精子生育力的特征之一,因此,我们希望这项旨在建立标准化形态学标准的研究可能在将来的研究中有助于寻找有助于精子估计的精子参数质量。为此,通过Sperm-Class Analyzer(SCA)计算机辅助图像分析系统,将可育羊驼的射精用于评估精子头部形态。我们根据精子头部的大小(正常50%,小26%,大24%)定义了三种形态学类别,并根据精子头部的形状(正常47%,梨形3%,短20%,圆形1%。长29%)定义了五个类别。 %)。根据形状对精子进行分类的方法是,首先对形态明显不合格的精子头部进行形态计量学表征。此后,对来自这些典型精子头的数据进行判别分析,并使用所得的分类函数对2200个精子前额羊驼进行分类。 88%的病例通过这种方法对精子头部进行分类,大多数错误分类归因于将梨形头归类为长头部。比较了从50个,100个,150个,175个和200个精子头的样本获得的形态学值。应评估至少150个精子头,以克服样本量对精子测量的影响。个体之间的精子形态有显着差异(形态参数的CV在1.3至13.0之间),射精的精子形态组成也存在明显差异。动物内CV范围在4.7至17.8之间,因此显示出羊驼射精中存在的高度精子多态性,

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