Sperm Quality Analyzer Research Articles

Validation of the sperm quality analyzer and the hypo-osmotic swelling test for frozen-thawed ram and minke whale (Balaenoptera bonarensis) spermatozoa.

The object of the present study was to investigate the validation of the sperm quality analyzer (SQA) and the hypo-osmotic swelling (HOS) test with standard sperm analysis methods in frozen-thawed ram and minke whale spermatozoa. In rams, highly significant correlations were observed in the percentage of motile spermatozoa (P<0.01) and sperm concentration (P<0.01) between the standard and SQA methods. But, the percentage of morphologically normal spermatozoa did not significantly correlate between the standard and SQA methods. The percentages of swollen spermatozoa at 15 minutes by the HOS test were significantly correlated with the motility by the standard (P<0.05) and by the SQA (P<0.05) methods. For minke whale spermatozoa, the SVI (sperm viability index) values by the standard method were significantly (P<0.001) correlated with the sperm motility index (SMI) values by SQA. The percentage of motile spermatozoa was also significantly correlated (P<0.01) with the motility measured by SQA. Using different hypo-osmotic solutions and incubation times, the HOS test with 25, 100 and 150 mOsM did not show significant variations. Motility observed by the standard method and the percentage of swollen spermatozoa were significantly correlated (P<0.05). These results indicate that the SQA and HOS test can be utilized to assess the post-thawing motility of ram and minke whale spermatozoa, and that the SQA and HOS test values are significantly correlated in ram spermatozoa. However, sperm concentration and morphologically normal spermatozoa are not assessed accurately by SQA in minke whales.

Accuracy of sperm velocity assessment using the Sperm Quality Analyzer V.

Aim: The correct diagnosis of the functional capacity of human sperm is limited. The Sperm Quality Analyzer (SQA) with the visualization system (SQA V, Medical Electronic System, Hatavorzo, Israel), an upgraded version of SQA, was recently developed to provide a rapid and low-cost quantitative evaluation of sperm quality as well as sperm velocity assessment. The aim of the present study was to evaluate whether the SQA V's new parameters correlate with computer-aided sperm analysis (CASA) estimates. Methods: Semen quality analysis of 66 fresh samples was determined using SQA V and CASA. Results: There were significant correlations of total sperm concentration (P<0.001), sperm motility (P=0.145), and percentage of progressive motile sperm (P=0.001), between the SQA V variables and the CASA estimates. The sperm velocity assessed by SQA V was significantly correlated with some of the CASA estimates, including sperm motility (P=0.001), the percentage of progressively motile sperm (P<0.001), straight-line velocity (P<0.001), curvilinear velocity (P<0.001) and average path velocity (P<0.001). However, it did not correlate with amplitude of lateral head displacement, beat cross frequency, straightness, or linearity, assessed by CASA. Conclusion: Assessment of sperm motility has been shown as one of the important factors to predict the functional capacity of human sperm. On the basis of the present study, SQA V is considered useful for screening sperm quality in the management of male infertility. (Reprod Med Biol 2003; 2: 151-157).

Semen dilution prior to analysis influences the ability of the sperm quality analyzer to predict fertility whether inseminating with a constant number of sperm or a constant volume of semen

Previous research has shown that the sperm quality index (SQI) is positively correlated with semen characteristics as well as fertility when broiler breeder semen is diluted 10-fold prior to analysis. However, research has not been conducted to establish if semen dilution rate affects the ability of the SQI to predict fertility when inseminating a constant number of sperm or a constant volume of semen. As a result, 3 experiments were undertaken. The objective of the first study was to determine if diluent, minimum essential media, or 0.85% saline affects the SQI. The second objective was to identify potential semen dilution rates for the SQI by obtaining the range in live sperm concentrations to which the SQI is most sensitive. The purpose of experiment 3 was to determine which semen dilution rate, 10-, 25-, 50-, 75-fold, or a constant concentration of 180 × 10(6) sperm/mL, yields an SQI that is most predictive of fertility. Once a week for 3 wk, 20 hens were individually inseminated with either 20 microL of 4-fold diluted semen or a constant 45 × 10(6) sperm from each of 29 broiler breeder males. To determine which semen dilution rate yielded an SQI that was most predictive of fertility, Pearson's correlation coefficients were obtained between the SQI at each dilution rate and fertility. There was no difference in the SQI due to diluent. Sperm quality index values declined logarithmically as live sperm concentration decreased. The SQI was most sensitive to live sperm concentrations from 11 to 232 × 10(6) sperm/mL. The SQI for semen diluted 10-fold was the best predictor of fertility when inseminating with a constant volume of 4-fold diluted semen (r = 0.71). When hens were inseminated with a constant 45 × 10(6) sperm/hen, the SQI for semen diluted 10- and 25-fold as well as to a constant concentration of 180 × 10(6) sperm/ mL was equally effective at predicting fertility (r = 0.59, 0.52, and 0.61, respectively). Apparently, the SQI is predictive of fertility when semen samples are diluted 10-fold prior to analysis regardless of insemination method used. Dilution beyond 10-fold appears to alter semen quality, rendering the SQI less accurate.

Motility characteristics of boar spermatozoa after addition of prostaglandin F 2α

Addition of prostaglandin F 2α (PGF 2α) to extended boar semen has been shown to slightly increase reproductive parameters in sows such as the conception rate and the total number of piglets born alive. The mechanisms by which PGF 2α affect these parameters have not yet been elucidated, but it is possible that the sperm transport after insemination is increased. This study investigated whether the sperm motility from 20 Piétrain boars improved when PGF 2α (Dinolytic ®; 5 mg PGF 2α/ml) was added to diluted semen. Different amounts of PGF 2α (0, 0.5, 1 and 2 ml/100 ml) were tested and the motility was evaluated immediately after addition of PGF 2α, after 30 min, 2 h, and 24 h. Two computer-assisted semen analysis (CASA) systems, namely the Sperm Quality Analyzer (SQA-IIC) and the Hamilton Thorne (HTR Ceros 12.1) were used to assess the motility parameters. With the SQA-IIC, sperm motility index values of the treated groups were only slightly higher ( P>0.05) compared to the negative control group. The different motility parameters measured with the HTR Ceros 12.1 were similar between the treatment groups, except for beat cross frequency, which was higher in the control group (1.5–5%; P<0.001). This study documented that the addition of 2.5, 5 or 10 mg PGF 2α to 100 ml diluted boar sperm does not increase any sperm motility parameter. Further research is necessary to elucidate mechanisms by which PGF 2α in diluted semen may improve the reproductive performance in swine farms.

Comparison of the BullMate™ sperm quality analyzer with conventional means of assessing the semen quality and breeding soundness of beef bulls

An instrument called the Optibreed™, BullMate™ sperm quality analyzer (SQA) contains a densitometer for determining sperm cell concentration and an optical sensor to evaluate light deflections caused by sperm movement. Analysis of light deflections enables the generation of a value called the sperm quality index (SQI). The SQI represents the quality of a semen sample defined by sperm motility, concentration, viability and morphology. The SQA was compared to conventional, microscopic techniques for determining percent motile sperm and sperm concentration in bull semen samples and evaluated for its ability to classify bulls as satisfactory or unsatisfactory potential breeders. Semen samples were collected from 105 mature beef bulls by electroejaculation (day 1) and from 51 of the same bulls by internal artificial vagina (IAV) on day 2. SQI values were arranged into 20 categories in increments of 50 units from 0 to 1000 units. Percent motile sperm and sperm concentration values from both methods were significantly positively correlated ( P<0.000) with respective r values of 0.82 and 0.80. A calculation of kappa to evaluate the differences in percent motile sperm generated by each system yielded a value of 0.20 and 0.54 for unweighted and weighted determinations, respectively. The intraclass correlation coefficient used to evaluate the reliability of sperm cell concentration determinations was 0.62 ( P<0.05). SQI values generated on days 1 and 2 ranged from 0–994 to 0–906, respectively. Bulls were categorized as satisfactory or unsatisfactory potential breeders in all categories. The most appropriate SQI for determining whether a bull was a satisfactory or unsatisfactory potential breeder was 500 with respective sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV) of 81, 65, 90.79 and 44.83%. In this experiment the BullMate™ SQA was not a reliable substitute for conventional semen analysis and was not useful for determining bull breeding soundness.

Sperm mobility phenotype not determined by sperm quality index

We tested the capacity of the AviMate sperm quality analyzer to predict sperm mobility phenotype. A preliminary experiment was performed to determine a sperm concentration that afforded maximal sperm quality index (SQI) values with sperm from males with high sperm mobility. In order to facilitate comparison of sperm motility indexes, semen was diluted to aconstant concentration of 1.25 million sperm/mL rather than a constant ratio of 1:75 as recommended for the sperm quality analyzer. Thereafter, sperm mobility, motile concentration, and SQI were measured from a single ejaculate collected from each of 70 broiler breeders. Coefficients of variation were 60, 37, and 30%, respectively. Neither sperm mobility (r = 0.01) nor motile concentration (r = 0.14) was highly correlated with SQI. Neither motile concentration nor straight line velocity (VSL) differed (P > or = 0.05) among roosters whose SQI values were below or above one standard deviation from the population mean (n = 10 per group). In contrast, both motile concentration (P < or = 0.01) and VSL (P < or = 0.05) differed between roosters whose sperm mobility values were below or above a standard deviation from the population mean (n = 10 per group). Sperm mobility was a function of the size of a highly motile subpopulation of sperm. A replicate experiment was performed with a flock of New Hampshire roosters (n = 126). Neither the properties of motile sperm nor fertility differed among males characterized by extreme SQI scores. We concluded that variation in SQI scores was enigmatic because sperm concentration was controlled in our experiments, sperm viability was invariant, and motile concentration did not differ among roosters characterized by extreme SQI scores. In summary, the AviMate sperm quality analyzer did not predict sperm mobility phenotype.

Use of a sperm quality analyser on semen of turkey breeders to monitor storage time effects and age-related changes during a reproductive cycle

1. A relatively new instrument known as a Sperm Quality Analyzer® (SQA) offers a rapid assessment of sperm quality and quantity by providing a sperm quality index (SQI). The SQA measures the intensity of sperm activity and motile concentration by determining the number and amplitude of sperm movements per second in a capillary tube as detected through light beam interference. 2. The objectives of the current study were to determine if the SQA could accurately reflect changes in semen quality that occur with prolonged storage of semen and to determine the variation and change in SQI values among individual breeding male turkeys during their semen production cycle. 3. The effect of storage time on SQI values was evaluated by diluting semen with extender and placing the semen on an oscillating shaker at 4°C for 8 h. The SQI values and sperm viability, expressed as % dead sperm, were recorded hourly. The SQI readings declined linearly with increased storage time, while % dead sperm increased linearly with increased semen storage. 4. Semen from 220 individual males was analysed monthly for 9 months. Semen diluted 50-fold with saline had lower SQI values during pre- and post-peak phases of production (months 1, 7, 8, and 9 as compared with months 2 to 6 of semen production). The highest SQI values occurred during months 2 to 6. The largest variation in SQI values occurred during months 1 (CV = 26%) and 9 (CV = 31%) with a CV that averaged 16% for the remaining months. 5. Correlation analysis of SQI values for each bird averaged over 9 months with individual male SQIs for each month showed monthly correlation coefficients that ranged from 0.22 to 0.63. 6. These results indicate that the SQA accurately assessed the decline in sperm quality that occurs with prolonged storage of turkey semen and reflected age-related changes in semen quality and quantity that occurred during a semen production cycle of turkey breeders. In addition, the semen quality rank of some turkey breeders in a population changed with age.

Utilisation of a sperm quality analyser to evaluate sperm quantity and quality of turkey breeders

1. A relatively new instrument known as a Sperm Quality Analyzer® (SQA) offers a rapid assessment of sperm quality and quantity by providing a sperm quality index (SQI). The SQA measures a combination of the intensity of sperm activity and motile concentration by determining the number and amplitude of sperm movements per second in a capillary tube as detected through light beam interference. 2. Because the SQA has not been tested for its potential use in turkeys, the objective was to determine if the SQA could accurately respond to changes in turkey sperm concentration, viability, and motility in semen collected from turkey breeders. 3. The effect of varying concentrations of sperm on SQI values was evaluated by diluting replicate pools of semen from 4 different aged turkey breeder flocks with saline. Results from all 4 flocks showed that semen dilutions greater than 20-fold resulted in a linear decline in SQI values. 4. Additional in vitro analysis evaluated the effects of turkey sperm viability on the SQI under conditions of constant sperm concentration. Incubated, live sperm was mixed in various proportions with thawed, dead sperm to determine changes in viability. Increased proportions of dead sperm caused a decline in the SQI. 5. To assess sperm motility, turkey semen was incubated under either aerobic (motile) or anaerobic (immotile) conditions. Varied amounts of immotile and motile sperm samples were mixed. A linear increase in the SQI was observed as per cent motile sperm increased. 6. These results indicate that the SQA can respond to differences in turkey sperm concentration, viability, and motility using in vitro analyses.

Use of the Sperm Quality Analyzer (SQA II-C) for the assessment of dog sperm quality.

In the present study, an automated system for sperm analysis, the Sperm Quality Analyzer (SQA II-C), was tested as a potential tool for the assessment of dog sperm quality. In the first experiment the device displayed a good repeatability of measurements for semen of medium and high quality, as evidenced by a low coefficient of variance (CV; 0.08), whereas a high CV (0.46) was obtained for one dog with semen of inferior quality. In the second experiment, seven different sperm concentrations (25-300 x 106/ml), obtained by dilutions in Hepes-TALP medium were stored for 48 h at room temperature. A concentration dependent increase in sperm motility index (SMI) was shown, reaching a plateau at 150 x 106 spermatozoa/ml. For all sperm concentrations, the SMI value decreased significantly after 24 h, indicating the importance of sperm motility for SMI values. For sperm concentrations lower than 150x106/ml, highly significant correlations [r=0.80;p<0.05] were established between SMI values on one hand and sperm concentration, and semen parameters expressing the overall semen sample quality on the other hand (experiment 3) while non-significant or low correlations were found between SMI values and other individual sperm parameters. In experiment 4, significantly high correlations (r=0.97) were found between mean SMI values and post-thaw motility and progressive motility assessed subjectively. In conclusion, our study indicates that both motility and concentration largely influence SMI values and that the SQA II-C saturates at 150 x 106 fresh spermatozoa/ml. In our opinion, the SQA II-C may be a useful and objective device to assess the post-thaw motility of dog sperm.

Effect of endotoxin-induced reactive oxygen species on sperm motility

Objective: To define the mechanism of infection-induced damage of sperm. Design: The effect of lipopolysaccharide (LPS)-induced reactive oxygen species (ROS) on sperm motility and its modification by scavengers were investigated. Setting: Research laboratory of a university hospital. Patient(s): Normozoospermic semen samples were obtained from 37 healthy volunteers. Intervention(s): The sperms were incubated in the presence of LPS with or without scavengers. Main Outcome Measure(s): Sperm motility was evaluated by a sperm quality analyzer (SQAIIB). ROS formation in semen samples was measured by a Berthold luminometer (LB953). Result(s): Motility of spermatozoa was decreased in the LPS-treated samples compared with that in the control groups. ROS was significantly higher in the LPS-treated groups than in the control groups. The addition of ROS scavengers restored the motility index and suppressed ROS production in the LPS-treated semen samples. Conclusion(s): These data suggest that endotoxin-induced excessive production of ROS is responsible for the decrease in sperm motility and that antioxidant therapy may be a therapeutic option for infertile men with bacterial genital tract infection.

Validation of the Sperm Quality Analyzer (SQA) for dog sperm analysis

In the present study, a simple and inexpensive unit (the Sperm Quality Analyzer-SQA), was evaluated for dog sperm analysis. Our objective was to propose a cheap, accurate and convenient device to be used in veterinary practices involved with dog fertility assessment and artificial insemination. The device was tested by analyzing repeatability and accuracy at different sperm concentrations and motility characteritics. The Sperm Motility Index (SMI), a numeric index provided by the SQA, was compared with the results obtained using a computer-aided sperm analyzer (Hamilton Thorn IVOS 10). The correlation between SMI and some sperm parameters as well as predictive values of the SMI were established. The dog sperm data provided by the SQA were consistent and repeatable (coefficient of variability below 10% for all concentrations tested). The SMI was significantly dependant on motile sperm concentration and a positive significant correlation was established for the different motile sperm concentrations from a concentration of 25 x 10 6 up to over 200 x 10 6 cells/mL. Zero motility did not affect SMI because non-motile cells, regardless of their concentration, do not cause any fluctuations in the optical density (OD). Over the tested 200 x 10 6 cells/mL value, a correlation still could be observed but it was not statistically significant, possibly because of a saturation of the system. In dog semen, the correlation is better between SMI values and the number of motile spermatozoa than with the overall motile concentration. Based on this observation, a predictive value was given to the SMI allowing for a sorting of dog ejaculates in 3 sperm categories (SMI <100, 100<SMI<250, SMI>250) each characterized by a range of sperm number and motility. If a positive correlation between the SMI categories and fertility has been demonstrated in humans, such a correlation needs to be established in dogs.

Assessment in rats of the reproductive toxicity of gasoline from a gasoline vapor recovery unit

Gasoline (CAS 86290-81-5) is one of the world’s largest volume commercial products. Although numerous toxicology studies have been conducted, the potential for reproductive toxicity has not been directly assessed. Accordingly, a two-generation reproductive toxicity study in rats was conducted to provide base data for hazard assessment and risk characterization. The test material, vapor recovery unit gasoline (68514-15-8), is the volatile fraction of formulated gasoline and the material with which humans are most likely to come in contact. The study was of standard design. Exposures were by inhalation at target concentrations of 5000, 10 000, and 20 000 mg/m 3. The highest exposure concentration was approximately 50% of the lower explosive limit and several orders of magnitude above anticipated exposure during refueling. There were no treatment-related clinical or systemic effects in the parental animals, and no microscopic changes other than hyaline droplet nephropathy in the kidneys of the male rats. None of the reproductive parameters were affected, and there were no deleterious effects on offspring survival and growth. The potential for endocrine modulation was also assessed by analysis of sperm count and quality as well as time to onset of developmental landmarks. No toxicologically important differences were found. Therefore, the NOAEL for reproductive toxicity in this study was ≥20 000 mg/m 3. The only systemic effects, in the kidneys of the male rats, were consistent with an α−2 u-globulin-mediated process. This is a male rat-specific effect and not relevant to human health risk assessment.

P-021. Objective measurement of sperm-mucus interaction by means of the sperm quality analyser: preliminary data

P-021. Objective measurement of sperm-mucus interaction by means of the sperm quality analyser: preliminary data

Evaluation of the SQA IIB: a new version of a sperm quality analyzer

Objective: To evaluate the SQA IIB (Sperm Quality Analyzer; MES-Medical Electronic Systems, Migdal Haemek, Israel), sperm analyzer that claims to read the three main sperm indices through algorithmic means and without a microscope. Design: Controlled laboratory study comparing two methods of sperm analysis. Setting: Academic environment. Patient(s): Twenty-six healthy volunteers. Intervention(s): Samples from intact or manipulated specimens were analyzed with the standards of the World Health Organization and the SQA IIB. Main Outcome Measure(s): Results by the two methods were compared and evaluated statistically. Result(s): Values from the SQA IIB deviated significantly from those obtained by the standard method for all three indices. Disagreement was more than twofold in 53% and more than threefold in 33% of cases. In specimens with <8% motility or total lack of motility, the SQA IIB showed zero concentration, zero motility, and no normal forms. Conclusion(s): Analysis of the three main sperm indices by the SQA IIB is of limited accuracy and reliability. The principle of an indirect evaluation through algorithmic means is inadequate. Because it may furnish misleading information, which is sometimes crucial for the treated couple, it is not suitable for screening and cannot be recommended for clinics, sperm banks, or research studies in andrology.

Relationship between the sperm motility index assessed by the sperm quality analyzer and the outcome of intracytoplasmic sperm injection.

Intracytoplasmic sperm injection (ICSI) has been validated as a useful treatment in severe male-factor patients who could not achieve fertilization and live births by conventional in vitro fertilization treatment. To examine the impact of male factors on ICSI outcome, clinical laboratory data were retrospectively analyzed. One hundred two cycles of ICSI treatment indicated by severe male-factor infertility were entered into this study. Sperm parameters including sperm motility, sperm concentration, and sperm motility index assessed by the Sperm Quality Analyzer were evaluated. Five hundred seventy-six metaphase II oocytes retrieved were manipulated. The normal fertilization (2 PN) rate per oocyte was 64.9 +/- 26.0% (mean +/- SD). Of the 99 transfers, 31 clinical pregnancies were obtained, yielding an average pregnancy rate of 31.3% per transfer. The mean sperm motility, sperm concentration, and sperm motility index were 20.3 +/- 16.1% (range, 0 to 50%), 18.2 +/- 25.1 x 10(6)/ml (range, < 1 to 150 x 10(6)/ml), and 31.2 +/- 45.0 (range, 0 to 220), respectively. Sperm concentration did not have a significant impact on fertilization rate by ICSI. In four cases, ICSI was performed using totally immotile sperm and the fertilization rate was 43.5%, which was significantly lower than that of some of the other sperm motility groups, and no pregnancy could be achieved. In 14 cases in which the sperm motility index assessed by the Sperm Quality Analyzer was 0, the fertilization rate (50.0%) was significantly lower than in most of the other sperm motility index groups. These findings suggest that in severe male-factor cases with totally immotile sperm or a sperm motility index of 0, the selection of good-quality sperm should be verified before injection.

Use of a sperm analyzer for evaluating broiler breeder males. 1. Effects of altering sperm quality and quantity on the sperm motility index

A new instrument for assessing mammalian semen attributes, the Sperm Quality Analyzer, was evaluated as a potential tool for determining rooster sperm quality. The Sperm Quality Analyzer measures the “activity” of sperm in a semen sample as the sperm motility index (SMI). The SMI is defined as the number and amplitude of deflections in a light path per second as a result of sperm movement within a capillary tube. In the present study, effects of sperm concentration, viability, and motility on the SMI were evaluated. Peterson broiler breeder males (n = 40) were used as semen donors. In the initial experiment, semen was diluted from 2- to 25-fold and SMI readings were obtained. The SMI was very low in neat semen samples but increased when semen was diluted up to threefold. However, at dilutions greater than fivefold, the SMI decreased. Apparently, sperm concentration in undiluted semen is so great that sperm are unable to move freely within the capillary tube. Maximum SMI values were obtained at sperm concentrations of approximately 1 billion sperm per milliliter. When thawed, dead sperm were mixed with incubated, live sperm, the SMI decreased with decreasing sperm viability even though sperm concentration was constant. Obviously, fewer sperm move across the light beam as sperm mortality increases. When motile, aerobically incubated sperm were mixed at different rates with immotile, anaerobically incubated sperm samples, the SMI increased with increasing concentrations of motile sperm, whereas total sperm concentration was static. In addition, the SMI was strongly correlated with motility scores obtained by microscopic analysis. The Sperm Quality Analyzer provides an estimate of the overall quality of sperm from broiler breeder males by reflecting sperm concentration, viability, and motility in a single value, the SMI.

Performance of the sperm quality analyser in predicting the outcome of assisted reproduction.

The present study was undertaken to assess the relationship between the results of conventional semen analysis and the sperm motility index (SMI) as measured by the sperm quality analyser (SQA), and to evaluate these in relation to the fertilization and/or pregnancy outcome of assisted reproduction. SMI determinations and conventional semen analyses were performed on 223 samples from subfertile men in two laboratories in Leuven (n = 136) and Antwerp (n = 87), and on spermatozoa prepared on a Percoll gradient (n = 136) used for treatment of male factor infertility in 57 cycles of intrauterine insemination (IUI), 44 attempts at in vitro fertilization (IVF) and 31 attempts at intracytoplasmic sperm injection (ICSI). SMI values for native semen correlated significantly with sperm concentration, motility and morphology. Multiple regression analysis revealed sperm concentration after preparation, and the concentration of motile spermatozoa with normal morphology and SMI (before preparation) to be the independent determinants for SMI after preparation. SMI values were significantly higher after, than before, preparation (p < 0.0001). In regular IVF (n = 44) the percentage of fertilized oocytes correlated significantly (p < 0.05) with sperm motility (A + B%, r = 0.33), with the percentage of spermatozoa with normal morphology (r = 0.46) before preparation, with the values of SMI both before and after preparation (r = 0.54, r = 0.48), with sperm concentration (r = 0.34) and with the motile sperm concentration (r = 0.29) after preparation. For the occurrence of pregnancy (all treatment methods), comparison of areas under ROC curves (AURC) indicated motile sperm concentration after preparation, as well as SMI both before and after preparation, to have the highest AURC, with no significant difference between these values as far as predictive power was concerned. These results indicate that the SQA allows for rapid evaluation of sperm characteristics and of the effectiveness of sperm preparation techniques. However, it is not superior to conventional semen analysis in predicting the outcome of assisted reproduction.

Effects of nitrogenous components of urine on sperm motility: an in vitro study.

The effects of the major nitrogenous components of urine (ammonia, creatinine, urea and uric acid) on sperm motility were investigated. Semen samples were obtained by masturbation from a young volunteer with a normal spermiogram and fertility. Sperm motility was measured using a Sperm Quality Analyzer and Makler Chamber. When semen was mixed with a urine sample for which acidity and osmolality were adjusted to pH 7.5 and 340 mOsm/kg, the higher the concentration of the urine, the poorer the sperm motility. When solutions of various concentrations of the nitrogenous compounds which are excreted in urine were mixed with semen, sperm motility decreased in proportion to ammonia levels and was markedly decreased after 30 min. However, in the case of creatinine, urea and uric acid, good motility was maintained for 30 min regardless of their amounts. In conclusion, urine ammonia content is detrimental to sperm motility and may be an important factor in retrograde ejaculation.

Sperm motility index.

Within 40 s the Sperm Quality Analyzer (United Medical Systems, Santa Ana, CA, USA) provides a numerical value called the sperm motility index. This index reflects both the concentration of motile sperm cells and the intensity of their motility and cannot be determined by conventional semen analysis. To assess the diagnostic value and reliability of the sperm motility index, 155 ejaculates were investigated by the sperm quality analyzer and routine manual methods. The sperm motility index shows a good correlation with sperm density, motility, morphology, which are crucial parameters for male fertility.

Evaluation of sperm fertilizing ability using the Sperm Quality Analyzer.

The Sperm Quality Analyzer is an inexpensive device which provides a quantitative estimation of sperm motility. To evaluate the fertilizing ability of human spermatozoa using a Sperm Quality Analyzer, correlations amongst the sperm motility index, the sperm penetration index (as assessed using the sperm penetration assay; SPA), and the fertilization rate in the treatment of standard IVF-ET were analysed retrospectively. The sperm motility index demonstrated a significant correlation with sperm concentration (p < 0.001), sperm motility (p < 0.001) and the motile sperm concentration (p < 0.001) in a total of 104 fresh semen samples from 81 men donating samples for IVF-ET. The sperm motility index also showed a significant correlation (p < 0.001) with the sperm penetration index in 60 patients, assessed using the SPA, before they were treated by standard IVF-ET. The correlation between the sperm motility index and the IVF-ET fertilization rate was higher than that between the sperm penetration index and the fertilization rate. The sperm motility index was classified into three categories: 'poor' (sperm motility index < 80), 'medium' (sperm motility index 81-160) and 'good' (sperm motility index > 160). The relationships between the IVF-ET fertilization rate and each category of the sperm motility index values were also evaluated. For the three categories in the sperm motility index, the fertilization rates (76.0%) of 60 samples judged as 'good' were significantly higher than those (44.2%) of 15 samples judged as 'medium' (p < 0.001) and those (34.7%) of 13 samples judged as 'poor' (p < 0.001). These results indicate that the Sperm Quality Analyzer provides a reliable estimation of the fertilizing ability of human spermatozoa.