Computer-assisted Sperm Morphometry Analysis Research Articles

Feline sperm head morphometry in relation to male pedigree and fertility

Computer-assisted sperm morphometry analysis is an advanced tool which allows to precise measure sperm head parameters like length, width, area, and perimeter. On the basis of these and calculated parameters, morphometric subpopulations of spermatozoa can be distinguished. In many species, the distribution of subpopulation within the ejaculate is related to male fertility. There is no information about such a relation for domestic cats; therefore, the aim of this study was to evaluate whether spermatozoa from non-pedigree and purebred domestic cats differ in morphometric parameters. The second aim was to check if there is a relationship between sperm morphometry and fertility. Urethral semen was collected from 27 tomcats, divided into three study groups: non-pedigree cats of unknown fertility, purebred infertile cats and purebred fertile cats. The morphometric assessment was performed by CASMA, followed by principal component analysis and clustering. The results revealed huge intra- and inter-individual variation in sperm head morphometric parameters and three sperm-head morphometric subpopulations were identified in feline semen. Neither mean values of morphometric parameters nor the distribution of spermatozoa between morphometric subpopulations differ between non-pedigree cats of unknown fertility and purebred infertile and fertile cats. We hypothesize that other factors, especially abnormalities of the midpiece and tail, and overall worse quality of the semen of infertile males could have masked the effect of subtle changes in the sperm head morphometry.

Aplicación clínica de la estandarización para la morfología espermática automatizada humana tipo ASMA (assisted sperm morphometry analysis) con el analizador de semen SCA 5.4 (Sperm Class Analyzer, Microptic)

IntroductionUse is made of computer-assisted sperm morphometry analysis (ASMA) in order to analyse sub-populations as a function of several pathologies. Material and methodsA total of 703 patients were classified into 7 pathology groups, and their sperm sub-populations were analysed. Pathology groups were classified into infertility, male factor stress (anxiety, insomnia and/or depression), diabetes mellitus type 1 or 2, varicocele, urogenital infections, oncological patients, and other endocrine diseases. Morphological analysis was performed using the semen analyser system SCA 5.4 (Sperm Class Analyzer) (Microptic S.L., Barcelona, Spain). Pre-treatment and staining method used has been previously described by this group. ResultsAutomatic human sperm morphology showed that the study of sperm sub-populations has a clinical usefulness in the diagnosis of varicocele. Higher values of 30% elongated sperms had a sensitivity of 37% and a specificity of 79% (1.54 odds ratio with a 95% confidence interval from 1.05 to 2.26). Furthermore, groups of infertility, stress, and diabetes showed new sperm sub-populations which had not been described previously, so they could become a new diagnostic tool. DiscussionThe coefficients of variation of sperm morphology were decreased using automation, enabling the study sperm subpopulations in different pathologies. There is a diagnostic usefulness for varicocele. There could be a prediction to choose the best assisted reproductive technique for infertility patients. However, for the rest of groups new sperm subpopulations could be identified that could make it a diagnostic tool, but requires a higher casuistry to conclude the study.

Estandarización en la técnica de pretratamiento y tinción para la realización de la morfología espermática humana automatizada tipo asma (assisted sperm morphometry analysis)

ObjectiveStandardization ofpretreatment and staining technique to realizemorphological semen evaluation with computer-assisted sperm morphometry analysis system, with semen system analyzer SCA 5.4 (Sperm Class Analyzer, Microptic). Material and methodsMorphological analysis was performed with semen system analyzer SCA 5.4 (Microptic SL, Barcelona, Spain). The staining method was a modification of Hemacolor kit (Merck). Between 60 and 125 semen samples were chosen randomly from our laboratory. ResultsPretreatment of semen samples was a centrifugation for 5minutes at 300g, seminal plasma was rejected and the pellet was homogenized with .2mL of the seminal plasma itself. Not change in sperm morphology have been found with this pretreatment. Staining was performed with Hemacolor kit (Merck) but with some modifications. Fixer has been buffered with phosphate buffer pH 7.2 at 10%, time recommended by the manufacturer has been reduced. Fixation for 5seconds, 30seconds with Eosin staining and 2seconds with staining Azur. Finally it was washed for 30seconds with pH 7.2 phosphate buffer, as indicated by the manufacturer. After the pretreatment and staining we have got reference values for our methodology. ConclusionsAn automation methodology to perform sperm morphology reduces coefficient variations of determination thereby we can increase its technical reliability and remove the subjectivity of the manual analysis. This standardization can be the first step to study the diagnostic value of advanced morphology in infertility and urological diseases.

Sperm Morphology Assessment in Captive Neotropical Primates.

The main objective of this study was to evaluate sperm morphology in four neotropical primate species to compare the sperm morphological traits and the sperm morphometric parameters as a basis for establishing normative sperm standards for each species. Data from 80 ejaculates collected from four primate species, Callithrix jacchus, Callimico goeldii, Alouatta caraya and Ateles geoffroyi, were analysed for detection of sperm morphological alterations using subjective World Health Organization (WHO-2010) standards and Sperm Deformity Index (SDI) criteria, objective computer-assisted sperm morphometry analysis (CASMA) and subpopulation sperm determination (SSD) methods. There were multiple differences (p<0.01) observed among primate species in values obtained from WHO-2010, SDI, CASMA and SSD sperm analysis methods. In addition, multiple significant positive and negative correlations were observed between the sperm morphological traits (SDI, Sperm Deformity Index Head Defects, Sperm Deformity Index Midpiece Defects, Sperm Deformity Index Tail Defects, Normal Sperm, Head Defects, Midpiece Defects and Tail Defects) and the sperm morphometric parameters (SSD, Area (A), Perimeter (P), Length (L), Width (W), Ellipticity, Elongation and Rugosity) (p≤0.046). In conclusion, our findings using different evaluation methods indicate that pronounced sperm morphological variation exists among these four neotropical primate species. Because of the strong relationship observed among morphological and morphometric parameters, these results suggest that application of objective analysis methods could substantially improve the reliability of comparative studies and help to establish valid normative sperm values for neotropical primates.

Morphometric and kinematic sperm subpopulations in split ejaculates of normozoospermic men.

This study was designed to analyze the sperm kinematic and morphometric subpopulations in the different fractions of the ejaculate in normozoospermic men. Ejaculates from eight normozoospermic men were collected by masturbation in three fractions after 3–5 days of sexual abstinence. Analyses of sperm motility by computer-assisted sperm analysis (CASA-Mot), and of sperm morphometry by computer-assisted sperm morphometry analysis (CASA-Morph) using fluorescence were performed. Clustering and discriminant procedures were performed to identify sperm subpopulations in the kinematic and morphometric data obtained. Clustering procedures resulted in the classification of spermatozoa into three kinematic subpopulations (slow with low ALH [35.6% of all motile spermatozoa], with circular trajectories [32.0%], and rapid with high ALH [32.4%]), and three morphometric subpopulations (large-round [33.9% of all spermatozoa], elongated [32.0%], and small [34.10%]). The distribution of kinematic sperm subpopulations was different among ejaculate fractions (P < 0.001), with higher percentages of spermatozoa exhibiting slow movements with low ALH in the second and third portions, and with a more homogeneous distribution of kinematic sperm subpopulations in the first portion. The distribution of morphometric sperm subpopulations was also different among ejaculate fractions (P < 0.001), with more elongated spermatozoa in the first, and of small spermatozoa in the third, portion. It is concluded that important variations in the distribution of kinematic and morphometric sperm subpopulations exist between ejaculate fractions, with possible functional implications.

Recent advances in bird sperm morphometric analysis and its role in male gamete characterization and reproduction technologies.

Postcopulatory sexual selection through sperm competition may be an important evolutionary force affecting many reproductive traits, including sperm morphometrics. Environmental factors such as pollutants, pesticides, and climate change may affect different sperm traits, and thus reproduction, in sensitive bird species. Many sperm-handling processes used in assisted reproductive techniques may also affect the size of sperm cells. The accurately measured dimensions of sperm cell structures (especially the head) can thus be used as indicators of environmental influences, in improving our understanding of reproductive and evolutionary strategies, and for optimizing assisted reproductive techniques (e.g., sperm cryopreservation) for use with birds. Computer-assisted sperm morphometry analysis (CASA-Morph) provides an accurate and reliable method for assessing sperm morphometry, reducing the problem of subjectivity associated with human visual assessment. Computerized systems have been standardized for use with semen from different mammalian species. Avian spermatozoa, however, are filiform, limiting their analysis with such systems, which were developed to examine the approximately spherical heads of mammalian sperm cells. To help overcome this, the standardization of staining techniques to be used in computer-assessed light microscopical methods is a priority. The present review discusses these points and describes the sperm morphometric characteristics of several wild and domestic bird species.

Computer-assisted sperm morphometry fluorescence-based analysis has potential to determine progeny sex.

This study was designed to determine the ability of computer-assisted sperm morphometry analysis (CASA-Morph) with fluorescence to discriminate between spermatozoa carrying different sex chromosomes from the nuclear morphometrics generated and different statistical procedures in the bovine species. The study was divided into two experiments. The first was to study the morphometric differences between X- and Y-chromosome-bearing spermatozoa (SX and SY, respectively). Spermatozoa from eight bulls were processed to assess simultaneously the sex chromosome by FISH and sperm morphometry by fluorescence-based CASA-Morph. SX cells were larger than SY cells on average (P < 0.001) although with important differences between bulls. A simultaneous evaluation of all the measured features by discriminant analysis revealed that nuclear area and average fluorescence intensity were the variables selected by stepwise discriminant function analysis as the best discriminators between SX and SY. In the second experiment, the sperm nuclear morphometric results from CASA-Morph in nonsexed (mixed SX and SY) and sexed (SX) semen samples from four bulls were compared. FISH allowed a successful classification of spermatozoa according to their sex chromosome content. X-sexed spermatozoa displayed a larger size and fluorescence intensity than nonsexed spermatozoa (P < 0.05). We conclude that the CASA-Morph fluorescence-based method has the potential to find differences between X- and Y-chromosome-bearing spermatozoa in bovine species although more studies are needed to increase the precision of sex determination by this technique.

Predictive capacity of sperm quality parameters and sperm subpopulations on field fertility after artificial insemination in sheep

This study was designed to evaluate the relevance of several sperm quality parameters and sperm population structure on the reproductive performance after cervical artificial insemination (AI) in sheep. One hundred and thirty-nine ejaculates from 56 adult rams were collected using an artificial vagina, processed for sperm quality assessment and used to perform 1319 AI. Analyses of sperm motility by computer-assisted sperm analysis (CASA), sperm nuclear morphometry by computer-assisted sperm morphometry analysis (CASMA), membrane integrity by acridine orange-propidium iodide combination and sperm DNA fragmentation using the sperm chromatin dispersion test (SCD) were performed. Clustering procedures using the sperm kinematic and morphometric data resulted in the classification of spermatozoa into three kinematic and three morphometric sperm subpopulations. Logistic regression procedures were used, including fertility at AI as the dependent variable (measured by lambing, 0 or 1) and farm, year, month of AI, female parity, female lambing-treatment interval, ram, AI technician and sperm quality parameters (including sperm subpopulations) as independent factors. Sperm quality variables remaining in the logistic regression model were viability and VCL. Fertility increased for each one-unit increase in viability (by a factor of 1.01) and in VCL (by a factor of 1.02). Multiple linear regression analyses were also performed to analyze the factors possibly influencing ejaculate fertility (N=139). The analysis yielded a significant (P<0.05) relationship between sperm viability and ejaculate fertility. The discriminant ability of the different semen variables to predict field fertility was analyzed using receiver operating characteristic (ROC) curve analysis. Sperm viability and VCL showed significant, albeit limited, predictive capacity on field fertility (0.57 and 0.54 Area Under Curve, respectively). The distribution of spermatozoa in the different subpopulations was not related to fertility.

Study of nuclear and acrosomal sperm morphometry in ram using a computer-assisted sperm morphometry analysis fluorescence (CASMA-F) method

The aim of this study was to develop a new method that allows morphometric assessment of the sperm nucleus and acrosome in the ram using fluorescence microscopy and free software. The study was divided into three experiments. In the first experiment, semen smears from 20 ejaculates were fixed and labeled with a propidium iodide–pisum sativum agglutinin (PI/PSA) combination. Digital images of the sperm nucleus, acrosome, and whole sperm head were captured and analyzed using the ImageJ program. The computer-assisted sperm morphometry analysis fluorescence (CASMA-F) method used allowed the differentiation, capture, and morphometric analysis of most sperm nuclei, acrosomes, and whole heads with high precision and the assessment of the acrosomal status. In the second experiment, sperm nuclear morphometry by CASMA-F was compared by staining with the PI/PSA combination and staining with Hoechst 33342 as in previous studies. Similar results were obtained using both methods. In the third experiment, CASMA-F with PI/PSA was compared with a more conventional CASMA method (semen smears stained with Hemacolor (HEM) and processed with the ISAS commercial software, HEM). Spermatozoa displayed a bigger size when processed with CASMA-F than with HEM method in all primary sperm head morphometric parameters, but results using both methods were correlated. It was concluded that the CASMA-F method allows the simultaneous assessment of sperm nucleus, acrosome, and head in the ram.

Morphometrically-distinct sperm subpopulations defined by a multistep statistical procedure in Ram ejaculates: intra- and interindividual variation

The existence of sperm subpopulations within the mammalian ejaculate has now been widely recognized. However, to the best of our knowledge, no data exist regarding the existence of sperm morphometric subpopulations within the ovine ejaculate. Computer assisted sperm morphometry analysis (ASMA) data and clustering methods were used in this study to identify sperm-head subpopulations in ram semen. Two experiments were carried out. In Experiment 1, ejaculates from 226 mature rams of the Manchega breed belonging to 36 different herds were used. A minimum of 100 sperm heads were analyzed from each male and eight morphometric characteristics for each individual sperm were recorded. Subpopulation analysis was performed in sequential steps: variable group analysis and correlation analysis to select which morphometric characteristics to use in cluster analyses; nonhierarchical clustering analysis using sperm head length and p2a (also known as roundness) shape factor as initial classificatory variables; and hierarchical clustering analysis to obtain the final number of clusters. The clustering analyses, based on 26 306 individual cells, revealed the existence of four sperm subpopulations (SP1, SP2, SP3 and SP4) with different morphometric characteristics. Significant differences in the proportion of spermatozoa in the SP1 and SP3 were found between rams belonging to different herds. In Experiment 2, the intra- and intermale variability on the distribution of sperm subpopulations was assessed. Three ejaculates from each of 21 rams were collected and the same multistep clustering analysis was performed. For all subpopulations defined, the intermale variability resulted in high values, being the intramale variability much lower. This fact would allow the use of sperm head morphometry to characterize a male and might provide valuable information to asses its fertility. In conclusion, our results show that using computer assisted sperm morphometry analysis and multivariate cluster analyses, four sperm subpopulations with different head phenotype were identified in ram ejaculates.

Objective assessment of goat sperm head size by computer-assisted sperm morphometry analysis (ASMA)

The aim of the present study was to identify different objective categories of sperm head size evaluation, using both morphometric and statistical analyses. For this purpose, semen samples ( n = 16) were collected from 4 Florida male goats and assessed using a computer-assisted sperm morphometric analysis (ASMA) to obtain sperm head size measurements. The sperm heads were grouped into categories according to 25th and 75th percentiles (the lower and upper quartile, respectively) of their area values. Thereafter, a discriminant analysis was implemented on all the sperm morphometric parameters assessed, to obtain a classification matrix for sperm head size. Sperm heads by this method were classified into 3 categories depending on their size (small, medium and large), with a globally correct assignment of 95.5%. Moreover, significant differences ( p < 0.001) were recorded between individual animals for all the sperm head morphometric parameters assessed. In conclusion, by using both statistical and morphometric analyses, it was possible to recognize the three categories of sperm head size. It is expected that research could be useful in defining the relationship between sperm head size measurements and actual fertility data.

Identification of Sperm‐Head Morphometric Subpopulations in Iberian Red Deer Epididymal Sperm Samples

Computer-assisted sperm morphometry analysis (CASMA) was used in this study to identify sperm morphometric subpopulations in Iberian red deer epididymal sperm samples. Epididymal sperm samples were collected from 37 mature stags and were divided. One portion was diluted in a Tris-citrate-egg yolk medium. A microscope slide was prepared from single extended sperm samples prior to freezing. The remainder of each sample was frozen in nitrogen vapours using a conventional protocol. After thawing, sperm smears were prepared as described for extended samples. All slides were air-dried and stained with Hemacolor. The sperm-head dimensions for a minimum of 145 sperm-heads were analyzed from each sample by means of the Sperm-Class Analyser, and the mean measurements recorded. Each sperm-head was measured for four primary sperm-head parameters, and five parameters of head shape. All sperm morphometric parameters evaluated were placed in a statistical database and a multivariate cluster analysis was performed. The clustering analyses, based on 10 867 individual spermatozoa, revealed the existence of three subpopulations (SP(1), SP(2), SP(3)) of spermatozoa with different morphometric characteristics (p < 0.001). The proportion of spermatozoa present in any of the three subpopulations remained constant (p > 0.05) through the cryopreservation process. Pre-freeze and post-thaw sperm quality was in vitro evaluated by microscopic assessments of individual sperm motility and of plasma membrane and acrosome integrities. In conclusion, our results show that applying the CASMA techniques and multivariate cluster analyses, it was possible to determine that three subtle subpopulations of spermatozoa with different morphometric characteristics coexist in red deer semen.

Morphometric changes in boar spermatozoa induced by cryopreservation

Computer-assisted sperm morphometry analysis was used to determine the effects of cryopreservation on boar sperm head and midpiece morphometry. Sperm-rich fractions were collected from five mature boars. Three microscope slides were prepared from single extended sperm samples prior freezing and post-thawing. All slides were stained with Hemacolor, and 250 sperm images were obtained from each slide. The sperm head dimensions for length, width, area, perimeter and four shape factors and sperm-midpiece dimensions for area, width, angle and distance were determined in each spermatozoa. The effects of sperm freezing on sperm dimensions within and among boars were determined. A previous discriminant analysis of the results was able to correctly classify a 78.3 and 82% of fresh and frozen-thawed spermatozoa respectively. Sperm heads were significantly smaller in cryopreserved spermatozoa than in the companion extended samples for length, width, area and perimeter. Sperm midpieces were also significantly smaller in cryopreserved spermatozoa for width and area. The highest changes in morphometric dimensions after the freeze-thawing process were found in the midpiece of spermatozoa. The variability of morphometric measurements only was significantly different between fresh and thawed samples for head rugosity and midpiece area. The effects of cryopreservation on morphometric parameters were similar in the boars, which allow us to conclude that cryopreservation process does not have a different effect in each individual boar. In summary, morphometric changes associated with the cryopreservation process on boar spermatozoa do not apparently depends on an effect at individual level.

Standardization of sample preparation, staining and sampling methods for automated sperm head morphometry analysis of boar spermatozoa

The accuracy of computer-assisted sperm morphometry analysis (CASMA) depends on the careful preparation, fixation and staining of spermatozoa. The efficiency of CASMA may be enhanced by developing optimized protocols. The aim of the present study was to evaluate the influence of sperm washing and the use of three staining techniques [rapid Panoptic, Hemacolor and Harris's Haematoxylin (HH)] on image-processing accuracy and boar sperm head morphometry. Sperm washing had a significant effect on samples stained with rapid Panoptic, increasing the percentage of correctly binarized sperm heads and the contrast between cells and background. However, rapid Panoptic yielded the lowest percentage of properly digitized sperm heads. HH provided the highest cell/background contrast, and also greater sperm head staining intensity, but discrimination of sperm midpieces was considered insufficient. Hemacolor occupied an intermediate position, providing acceptable colour intensity and satisfactory cell/background contrast. Use of different staining procedures prompted dimensional differences in sperm head morphometry. Significant differences between animals were observed for all morphometric parameters. Low within-animal variation coefficients reflected a homogeneous sperm head population. Between-animal variation coefficients were relatively high for Hemacolor and HH, and significantly high for the rapid Panoptic stain. Using Panoptic and HH, stable morphometric measurements required at least 100 properly digitized sperm heads rather than 200, while Hemacolor required only 50 spermatozoa. These results indicate that both washing of semen and staining procedures significantly affect the accuracy of image processing and sperm head dimensions. Hemacolor and HH proved to be the best staining techniques for evaluating sperm head dimensions in boar.

Influence of staining and sampling procedures on goat sperm morphometry using the Sperm Class Analyzer

Computer-assisted sperm morphometry analysis (ASMA) has improved the assessment of sperm morphology, but the results depend on the use of adequate sampling and staining procedures of spermatozoa from individual species. In this study, the Sperm Class Analyzer® ASMA system was used for the morphometric analysis of goat sperm heads. Semen samples, obtained from four bucks, were used to evaluate the influence of three staining procedures (Diff-Quik, Hemacolor and Harris’ Haematoxylin) on the accuracy of image processing and sperm morphometry, the effect of the number of cells analysed and the repeatability of the method. These experiments were performed to obtain objective, accurate and reliable sperm morphometric measurements of goat spermatozoa.Diff-Quik and Harris’ Haematoxylin were significantly (p<0.05) more accurate than Hemacolor. However, Diff-Quik obtained the highest proportion of correctly analysed sperm heads (86.06%) and the lowest coefficients of variation on the image processing and morphometric measurements. The staining methods affected significantly the sperm dimensions (p<0.001) with increased values from Diff-Quik than Hemacolor and Harris’ Haematoxylin, respectively (Diff-Quik>Hemacolor>Harris’ Haematoxylin). No differences in morphometric parameters were found when 100, 150, 175 or 200 spermatozoa were analysed. The repeatability of results obtained was very high since no differences were found when measuring the same sperm on multiple attempts.In conclusion, to obtain objective, accurate and repeatable sperm morphometric measurements by the Sperm Class Analyzer® system in goats, the analysis of 100 spermatozoa from slides which have been previously stained with Diff-Quik is recommended.

Identification of Sperm Morphometric Subpopulations in Two Different Portions of the Boar Ejaculate and Its Relation to Postthaw Quality

A statistical approach using sequentially principal component analysis (PCA), clustering, and discriminant analyses was developed to identify sperm morphometric subpopulations in well-defined portions of the fresh boar ejaculate. Semen was obtained as 2 portions (the first 10 mL of the sperm-rich fraction and the rest of the ejaculate, respectively) and frozen using a conventional protocol. Before freezing, an aliquot was used for computer-assisted sperm morphometry analysis (ASMA). Postthaw quality was evaluated using computer-assisted sperm analysis (CASA), and an annexin-V/PI assay evaluated sperm membranes. The PCA revealed that 3 variables represented more than 78% of the cumulative variance in sperm subpopulations. The clustering and discriminant analyses, based on 5780 individual spermatozoa, revealed the existence of 4 sperm subpopulations. The relative percentage of these subpopulations varied between boar and ejaculate portions. Linear regression models based on measured morphometric characteristics could account for up to 36% of the percentage of intact sperm membranes postthaw. The ASMA protocol used in our study was useful to detect subtle morphometric differences between spermatozoa, and the combination of this analysis with a multivariate statistical procedure gave new information on the biological characteristics of boar ejaculates that is not given by conventional sperm analysis.

Effect of sample size and staining methods on stallion sperm morphometry by the Sperm Class Analyzer

Computer-assisted sperm morphometry analysis has improved the assessment of sperm morphology, but the results depend on the use of adequate evaluation and staining procedures of spermatozoa from individual species. In this study, the morphological module of the Sperm Class Analyzer&amp;reg;was used for the morphometric analysis of stallion sperm heads and midpieces. Semen samples were obtained from six fertile stallions in order to evaluate the influence of three staining procedures (Diff-Quik, Hemacolor and Harris&amp;rsquo; Haematoxylin) on the accuracy of image processing and sperm morphometry, and the effect of the sample size on sperm morphometric measurements. Harris&amp;rsquo; Haematoxylin was the staining technique of choice on the accuracy of the image processing with an optimum contrast of sperm cells with the surrounding background that allows an efficient boundary detection and segmentation which results in the highest proportion of sperm heads and midpieces assessed (80.47%). The results indicate that the staining methods affected significantly the sperm dimensions with increased values from Diff-Quik than Hemacolor and Harris&amp;rsquo; Haematoxylin respectively (Diff-Quik &amp;gt; Hemacolor &amp;gt; Harris&amp;rsquo; Haematoxylin). No differences in morphometric parameters were found when 100, 150, 175 or 200 spermatozoa were analysed. In conclusion, to obtain objective and accurate sperm morphometric measurements by the Sperm Class Analyzer&amp;reg; system in the stallion, it&amp;rsquo;s recommended the analysis of 100 spermatozoa from slides which have been previously stained with Harris&amp;rsquo; Haematoxylin.

Computer-assisted sperm head morphometry analysis (ASMA) of cryopreserved ram spermatozoa

Normal sperm morphology has been shown to be indicative of male fertility; however, subjective methods of assessing morphology are highly variable. Computer-assisted sperm morphometry analysis (ASMA) has been developed for the objective analysis of sperm head dimensions. Developing applicable protocols for sperm head morphometry analysis increases the efficiency of these systems. The objective of the current study was to develop accurate methods for employing ASMA of ram sperm heads. Staining methods, optimal sperm sample numbers, microscopic magnification and sampling variation within and between technicians were assessed. Frozen semen from 10 fertile rams was thawed and prepared on slides for morphometric analysis. Staining spermatozoa with hematoxylin and rose bengal stains yielded the best results. Ram sperm head morphometry was accurately evaluated on at least 100 spermatozoa at x 40 objective magnification. Using these techniques, a sample could be analyzed in approximately 3 mm. No significant differences in sperm head measurements were detected between 2 technicians. The system properly recognized and digitized ram spermatozoa 95% of the time. The morphometric measurements of sperm heads for all rams were as follows: length=8.08 μm, width=4.80 μm, width: length ratio=0.59, area=29.13 μm 2 and perimeter=23.93 μm. The mean within analysis coefficients of variation for all individual analyses and parameters ranged from 4.8% for length to 6.0% for area. The variation between replicate analysis was 2.4% or less for both technicians. When applying proper sample preparation and analysis procedures no differences in measurements or variation were observed between the 2 system operators.

Morphometric differences in sperm head dimensions of fertile and subfertile stallions

Gross morphological evaluation of stallion spermatozoa is of clinical value in assessing male fertility in the horse. While of value, methods of subjective sperm classification yield highly variable results. Recent development of computer-assisted sperm morphometry analysis (ASMA) technology has allowed for the objective analysis of sperm head morphometry. In the current study, ASMA was employed to determine morphometric differences in sperm head dimensions between fertile and subfertile stallions. At least 200 spermatozoa from each of 10 fertile and 10 subfertile stallions were analyzed by a commercial ASMA instrument. The mean measurements for length, width, area, perimeter, and width/length for each stallion were recorded and group means compared by a two-sample t-test. The mean measurements for length, area and perimeter were significantly larger in the subfertile than the fertile group (5.77 μm vs 5.33 μm, 12.66 μm vs 11.37 μm and 14.59 μm vs 13.64 μm respectively). The width of sperm heads from stallions in the subfertile group also tended to be larger than those of fertile stallions. The data suggest that differences in the dimensions of sperm heads may exist between fertile and subfertile stallions.