Topic
Semen analysis
About: Semen analysis is a research topic. Over the lifetime, 4909 publications have been published within this topic receiving 143225 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: The combination of clomiphene citrate as an antiestrogen and vitamin E as an antioxidant can significantly increase the pregnancy rate and improve sperm count and progressive sperm motility in cases of idiopathic oligoasthenozoospermia.
123 citations
TL;DR: The results support the idea that deficient sperm fertilizing capacity often is a characteristic of poor-quality semen, and the interspecies in vitro fertilization test might be useful as an additional tool in clinical investigations of the fertility of the male partners of childless couples.
123 citations
TL;DR: Dilution of the semen samples to approximately 50 x 10(6) spermatozoa/ml and an objective lens magnification of 60x, analysing at least 100 spermatozosa, are the technical settings proposed to obtain reliable and objective sperm morphometric measurements by the HTR 12.1 Metrix in canine.
123 citations
TL;DR: Both physiological and pathological roles of this unique subset of ROS are described, which can adversely affect reproductive potential by causing testicular dysfunction, decreased gonadotropic secretion, and abnormal semen parameters.
Abstract: Reactive nitrogen species (RNS) is a subset of free oxygen radicals called reactive oxygen species (ROS). Physiological levels of ROS are necessary to maintain the reproductive functions such as cell signaling, tight junction regulation, production of hormones, capacitation, acrosomal reaction, sperm motility, and zona pellucida binding. However, an excess of RNS can adversely affect reproductive potential by causing testicular dysfunction, decreased gonadotropin secretion, and abnormal semen parameters. Because such levels of RNS have been demonstrated in males with fertility problems and routine semen analysis has not been able to accurately predict IVF outcomes, it is imperative that novel strategies be developed in order to both assess and treat oxidative stress. This article describes both physiological and pathological roles of this unique subset of ROS.
122 citations
TL;DR: Semen analysis, under commercial conditions, allows to identify ejaculates with very low fertility potential but the pre-selection of the samples, the high number of sperm per doses and the high quality of the semen used in artificial insemination (AI) programmes reduces the variability, so it is unlikely to detect fertility differences associated with seminal parameters.
Abstract: Contents The aim of this study was to address the question of whether differences in farrowing rate and litter size after the use of different ejaculates could be predicted using the standard semen parameters under commercial conditions. In this study, a total of 1818 sows were used to evaluate the fertility predictive value of different sperm parameters. Logistic regression analysis (univariate and multivariate) was used to correlate the dichotomous farrowing rate data to the sperm parameters. Linear regression was also used to determine the relationship between litter size and semen parameters (Pearson correlation and multiple regression). Receiver-operating curves (ROC) were used to determine the overall performance characteristics of each semen variable in the logistic regression model. Semen analysis, under commercial conditions, allows to identify ejaculates with very low fertility potential but the pre-selection of the samples, the high number of sperm per doses and the high quality of the semen used in artificial insemination (AI) programmes reduces the variability. Therefore, it is unlikely to detect fertility differences associated with seminal parameters.
122 citations