Computer-assisted motion analysis of sperm from the common carp

Computer-assisted semen analysis (CASA) technology was applied to the measurement of sperm motility parameters in the common carp Cyprinus carpio. Activated sperm were videotaped at 200 frames s⁻¹ and analysed with the CellTrak/S CASA research system. The percentage of motile cells and both sperm head curvilinear velocity and straight-line velocity were measured following exposure of carp sperm to three predilution conditions and activation in media of differing ionic strengths and osmotic pressures. The highest percentage of motile sperm was obtained following predilution of sperm in seminal plasma and activation in Na-HEPES buffer pH 8.0. This level of motility was equalled after predilution in 200 m m KCl for 2 h. Straight-line velocities and curvilinear velocities of 130 μm s⁻¹ and 210 μm s⁻¹, respectively, were observed. Duration of motility was higher under seminal plasma predilution conditions (over 50% motile sperm at 55 s post-activation). The application provides a sound basis for the assessment of Sperm Characteristics in fish.     

Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters

In this study, we examined different computer-assisted sperm analysis (CASA) systems (CRISMAS, Hobson Sperm Tracker, and Image J CASA) on the exact same video recordings to evaluate the differences in sperm motility parameters related to the specific CASA used. To cover a wide range of sperm motility parameters, we chose 12-second video recordings at 25 and 50 Hz frame rates after sperm motility activation using three taxonomically distinct fish species (sterlet: Acipenser ruthenus L.; common carp: Cyprinus carpio L.; and rainbow trout: Oncorhynchus mykiss Walbaum) that are characterized by essential differences in sperm behavior during motility. Systematically higher values of velocity and beat cross frequency (BCF) were observed in video recordings obtained at 50 Hz frame frequency compared with 25 Hz for all three systems. Motility parameters were affected by the CASA and species used for analyses. Image J and CRISMAS calculated higher curvilinear velocity (VCL) values for rainbow trout and common carp at 25 Hz frequency compared with the Hobson Sperm Tracker, whereas at 50 Hz, a significant difference was observed only for rainbow trout sperm recordings. No significant difference was observed between the CASA systems for sterlet sperm motility at 25 and 50 Hz. Additional analysis of 1-second segments taken at three time points (1, 6, and 12 seconds of the recording) revealed a dramatic decrease in common carp and rainbow trout sperm speed. The motility parameters of sterlet spermatozoa did not change significantly during the 12-second motility period and should be considered as a suitable model for longer motility analyses. Our results indicated that the CASA used can affect motility results even when the same motility recordings are used. These results could be critically altered by the recording quality, time of analysis, and frame rate of camera, and could result in erroneous conclusions.     

Computerized analysis of motility, motility patterns and motility parameters of spermatozoa of carp following short-term storage of semen

A computer-aided semen analysis system was used to assess the % motile cells following storage of carp semen in 11 different buffers at 2, 5 or 22° C. BWW and TLP were the most suitable storage buffers because carp semen stored at 5° C in these buffers following activation showed no significant decrease in % motile spermatozoa up to 24 h. But, in most of the other buffers (Fish Ringer, Cytomix, Cortland, FRT, Mannitol, FPS, NAS and TSM) the motility potential was lost by 2 h. Storage was best at pH 6–9 and at 5° C. Carp spermatozoa exhibit three distinct motility patterns, namely 'linear', 'circular' and 'haphazard', the proportion of spermatozoa with a particular motility pattern depending on storage buffer and time. All spermatozoa with a linear trajectory had high VSL, STR and LIN; those moving in circles had low VSL, STR, LIN and BCF and those with a haphazard trajectory were distinct in that they had the highest ALH and their VSL, STR, LIN and BCF were higher than the circular moving spermatozoa and lower than the spermatozoa exhibiting linear trajectory. The study also demonstrates a pronounced time-dependent decrease in VCL, VAP, VSL and ALH of carp spermatozoa following activation with water or low osmolality solutions. This study provides for the first time data related to seven motility parameters of carp spermatozoa and demonstrates how these parameter values could be used to evaluate quality of carp milt following storage in different buffers. It confirms that carp spermatozoa exhibit linear or circular trajectories and provides evidence for a third type of trajectory described as haphazard. All three motility patterns could be discriminated objectively on the seven motility parameters.     

Quantification and identification of sperm subpopulations using computer-aided sperm analysis and species-specific cut-off values for swimming speed

Abstract

Motility is an essential characteristic of all flagellated 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 identified. The effects of medical treatments on sperm motility become apparent in changes in the distribution of spermatozoa among the three swimming speed classes.     

A test for plasticity in sperm motility activation in response to osmotic environment in an anuran amphibian

Evolutionary theory predicts that selection will favor phenotypic plasticity in sperm traits that maximize fertilization success in dynamic fertilization environments. In species with external fertilization, osmolality of the fertilization medium is known to play a critical role in activating sperm motility, but evidence for osmotic‐induced sperm plasticity is limited to euryhaline fish and marine invertebrates. Whether this capacity extends to freshwater taxa remains unknown. Here, we provide the first test for plasticity in sperm‐motility activation in response to osmotic environment in an anuran amphibian. Male common eastern froglets (Crinia signifera) were acclimated to either low (0 mOsmol kg⁻¹) or high (50 mOsmol kg⁻¹) environmental osmolality, and using a split‐sample experimental design, sperm were activated across a range of osmolality treatments (0, 25, 50, 75, 100, and 200 ± 2 mOsmol kg⁻¹). Unexpectedly, there was no detectable shift in the optimal osmolality for sperm‐motility activation after approximately 13 weeks of acclimation (a period reflecting the duration of the winter breeding season). However, in both the low and high acclimation treatments, the optimal osmolality for sperm‐motility activation mirrored the osmolality at the natural breeding site, indicating a phenotypic match to the local environment. Previously it has been shown that C. signifera display among‐population covariation between environmental osmolality and sperm performance. Coupled with this finding, the results of the present study suggest that inter‐population differences reflect genetic divergence and local adaptation. We discuss the need for experimental tests of osmotic‐induced sperm plasticity in more freshwater taxa to better understand the environmental and evolutionary contexts favoring adaptive plasticity in sperm‐motility activation.     

Computer-assisted sperm analysis (CASA): Capabilities and potential developments

Computer-assisted sperm analysis (CASA) systems have evolved over approximately 40 years, through advances in devices to capture the image from a microscope, huge increases in computational power concurrent with amazing reduction in size of computers, new computer languages, and updated/expanded software algorithms. Remarkably, basic concepts for identifying sperm and their motion patterns are little changed. Older and slower systems remain in use. Most major spermatology laboratories and semen processing facilities have a CASA system, but the extent of reliance thereon ranges widely. This review describes capabilities and limitations of present CASA technology used with boar, bull, and stallion sperm, followed by possible future developments. Each marketed system is different. Modern CASA systems can automatically view multiple fields in a shallow specimen chamber to capture strobe-like images of 500 to >2000 sperm, at 50 or 60 frames per second, in clear or complex extenders, and in <2 minutes, store information for ≥30 frames and provide summary data for each spermatozoon and the population. A few systems evaluate sperm morphology concurrent with motion. CASA cannot accurately predict ‘fertility’ that will be obtained with a semen sample or subject. However, when carefully validated, current CASA systems provide information important for quality assurance of semen planned for marketing, and for the understanding of the diversity of sperm responses to changes in the microenvironment in research. The four take-home messages from this review are: (1) animal species, extender or medium, specimen chamber, intensity of illumination, imaging hardware and software, instrument settings, technician, etc., all affect accuracy and precision of output values; (2) semen production facilities probably do not need a substantially different CASA system whereas biology laboratories would benefit from systems capable of imaging and tracking sperm in deep chambers for a flexible period of time; (3) software should enable grouping of individual sperm based on one or more attributes so outputs reflect subpopulations or clusters of similar sperm with unique properties; means or medians for the total population are insufficient; and (4) a field-use, portable CASA system for measuring one motion and two or three morphology attributes of individual sperm is needed for field theriogenologists or andrologists working with human sperm outside urban centers; appropriate hardware to capture images and process data apparently are available.     

Objective analysis of stallion sperm motility

An image-analysis system utilizing a microcomputer and CellSoft computer-assisted semen analysis software package was evaluated to assess stallion sperm motility characteristics. Analyses were performed at 37°C on a 6 μl drop of diluted semen placed on a glass slide and covered with an 18 mm² coverslip. Four groups of 25 cells each per slide, four slides per ejaculate and four ejaculates from each of three stallions were analyzed in a nested model. The percentage of motile sperm cells, mean velocity (μm/sec), mean linearity, and mean angular head displacement (μm) were measured. Statistical analysis of variance components showed that within ejaculates, more variation was accounted for in the differences among groups of 25 cells than among slides. Predicted standard deviations calculated for combinations of slides and groups of cells showed that a combination of two slides from which a total of 400 cells were analyzed resulted in a mean intra-assay coefficient of variation (CV) of 5.7% for the four measured variables. The following are individual coefficients of variation: percentage of motile cells (7.8%), mean velocity (6.4%), mean linearity (1.9%) and mean angular head displacement (6.6%). When ejaculate differences were included in the model and predicted standard deviations were calculated for a single ejaculate, the mean inter-assay CV was 9.2%. Mean velocity (6.4%) and mean linearity (4.7%) were more repeatable among ejaculates than either the percentage of motile sperm (14.4%) or angular head displacement (11.2%). It was concluded that this system is precise enough to determine differences in motility characteristics of stallion semen samples.     

Automated sperm morphology analysis in fishes: the effect of mercury on goldfish sperm

This study is the first to examine the morphology of fish sperm using automated sperm morphology analysis (ASMA). The technique was applied to investigate the effect of an environmental pollutant, mercury, on the sperm morphology of goldfish Carassius auratus , and the effects on sperm morphology were compared with those on sperm motility. Goldfish sperm flagellar length was significantly shortened after instant exposure to 100 mg l⁻¹ (368 µM) mercuric chloride, while curvilinear velocity (VCL) and the percentage of motile sperm were significantly decreased at mercuric chloride concentrations of 1 and 10 mg l⁻¹ (3·68 and 36·8 µM), respectively. After 24 h exposure to 0·001 mg l⁻¹ (0·0037 µM) mercuric chloride, flagellar length was significantly reduced in 38% of the spermatozoa. Following exposure to 0·1 mg l⁻¹ (0·37 µM) mercuric chloride for 24 h, however, the majority of spermatozoa (98%), had significantly shortened flagella and increased sperm head length, width and area. Sperm motility was also significantly decreased at 0·1 mg l⁻¹ (0·37 µM) mercuric chloride, probably due to the significantly reduced flagellar length at this concentration. This study shows that the morphological examination of fish sperm by ASMA provides, not only, an excellent tool for monitoring reproductive disruption caused by environmental pollution, but also has applications to other areas of fish reproductive biology, such as cryopreservation and aquaculture.     

β-Adrenergic antagonists and carp (Cyprinus carpio L.) sperm motility

We studied the effects of two β-adrenergic antagonists, atenolol and propranolol, on carp sperm motility. Atenolol (10⁻³−10⁻⁸ m ) has no appreciable effects while propranolol (6 × 10⁻⁵−3 × 10⁻⁶ m ) affects the percentage of sperm motility in a dose-dependent fashion.     

Environmental osmolality influences sperm motility activation in an anuran amphibian

Evolutionary theory predicts that selection will favour sperm traits that maximize fertilization success in local fertilization environments. In externally fertilizing species, osmolality of the fertilization medium is known to play a critical role in activating sperm motility, but there remains limited evidence for adaptive responses to local osmotic environments. In this study, we used a split‐sample experimental design and computer‐assisted sperm analysis to (i) determine the optimal medium osmolality for sperm activation (% sperm motility and sperm velocity) in male common eastern froglets (Crinia signifera), (ii) test for among‐population variation in percentage sperm motility and sperm velocity at various activation‐medium osmolalities and (iii) test for among‐population covariation between sperm performance and environmental osmolality. Frogs were obtained from nine populations that differed in environmental osmolality, and sperm samples of males from different populations were subjected to a range of activation‐medium osmolalities. Percentage sperm motility was optimal between 10 and 50 mOsm kg^?1, and sperm velocity was optimal between 10 and 100 mOsm kg^?1, indicating that C. signifera has evolved sperm that can function across a broad range of osmolalities. As predicted, there was significant among‐population variation in sperm performance. Furthermore, there was a significant interaction between activation‐medium osmolality and environmental osmolality, indicating that frogs from populations with higher environmental osmolality produced sperm that performed better at higher osmolalities in vitro. This finding may reflect phenotypic plasticity in sperm functioning, or genetic divergence resulting from spatial variation in the strength of directional selection. Both of these explanations are consistent with evolutionary theory, providing some of the first empirical evidence that local osmotic environments can favour adaptive sperm motility responses in species that use an external mode of fertilization.     

Characterization of sperm motility in sea bass: the effect of heavy metals and physicochemical variables on sperm motility

Computer assisted sperm analysis (CASA) was used to characterize the motility of sea bass Dicentrarchus labrax spermatozoa and to study the effect of several physicochemical variables and heavy metals on sperm swimming performance. Duration of sperm motility in sea bass was very short (<50 s). During the first 20 s all the motility variables measured remained approximately constant, the velocity and linearity of the movement being maximum during this period, while both variables decreased sharply later. While slight variations in pH did not significantly modify sperm swimming performance, changes in osmolality affected all the measured motility variables. Two of the heavy metals tested, Cu²⁺ and Pb²⁺, did not affect sperm motility when the activating media contained up to 100 ppm of the metal salts. In contrast, Hg²⁺ modified the morphology of post-swimming spermatozoa at 0·4–1 ppm (sperm dilution rate 1:39) and completely arrested sperm motility at concentrations as low as 0·1 ppm (sperm dilution rate 1:2500). Assuming a covalent binding to sperm cells, this revealed a finite number of c. 10 million Hg²⁺ binding sites per spermatozoon. Complementary results using demembranated spermatozoa suggested that the main target of HgCl₂ would be located in the plasma membrane and that HgCl₂ would inhibit water channels, hence preventing sperm motility.     

Freeze-thawing as the factor of spontaneous activation of spermatozoa motility in common carp (Cyprinus carpio L.)

In the present study, we investigated the possibility of spontaneous carp spermatozoa activation by freeze-thawing. To evaluate this, the parameters of spermatozoa motility percentage, velocity, ATP content level and fertility rate of sperm were used. The motility and velocity of spermatozoa activated by freeze-thawing were characterized by motile spermatozoa with a median value of 16% and a velocity of 98 μm/s. In addition, the motility and velocity of sperm from the thawed samples were significantly lower than in the control (median value of 100% for sperm motility and 175 μm/s for sperm velocity). Furthermore, a spontaneously activated spermatozoa motility terminated within five minutes post-thaw time. After freeze-thawing the ATP level significantly decreased with post-thaw time (46 nmol ATP/10⁹ and 10 nmol ATP/10⁹ at 25 s and 10 min after thawing, respectively). Fertility of spermatozoa was not significantly affected within 10 min post-thaw. On the other hand, the fertility of frozen-thawed sperm was significantly lower if compared to fresh sperm. We conclude that the freeze-thawing procedure spontaneously activated spermatozoa motility in common carp. However, this activation did not negatively affect the fertility of frozen-thawed sperm.     

Relationships between sperm morphometry and sperm motility in the Atlantic salmon

Relationships between spermatozoal design and swimming behaviour were investigated using the significant natural variance in sperm traits in Atlantic salmon Salmo salar. In vitro motility and fertilization experiments were conducted with 86 Atlantic salmon to measure sperm form and function under natural fertilization conditions. Spermatozoal traits of Atlantic salmon showed narrow variance within individuals but differed extensively between samples: mean sperm length varied from 32·3 to 39·5 μm, mean velocity ranged from 18 to 127 μm s⁻¹, and ejaculate longevity varied from 18 to 78 s. In addition to variation in sperm morphometry between fish, a negative relationship was also found between sperm head length and flagellum length. This natural variation in sperm form and function between males is counter-intuitive since measures are from a single Atlantic salmon population where all males are adapted to a common fertilization environment. No evidence was found that longer sperm, or sperm with longer flagella, achieved faster swimming velocities. Also no evidence was found for a trade-off between mean sperm velocity and ejaculate longevity. There were significant negative associations, however, between sperm total and flagellum length and ejaculate longevity, so that males with longer sperm had shorter-lived gametes. This finding has previously been reported in a study across fish species, supporting the theory that increased hydrostatic forces generated by longer flagella may trade against sperm cell longevity.     

Changes in the motility patterns of spermatozoa from the rabbit epididymis as assessed by computer-aided sperm motion analysis

Sperm maturation in the epididymis includes changes in their potential for motility that enables spermatozoa to reach the egg and penetrate its investments. The motility characteristics of spermatozoa from the testis, the epididymis, and vas deferens of the rabbit were investigated by computer-assisted sperm analysis (CASA). Various forms of motility were displayed by sperm from different regions of the epididymis released into incubation medium Testicular sperm were motile, although nonprogressive. The maximum percentage motility was expressed by sperm in the proximal cauda epididymidis, and forward progression was developed by spermatozoa from the distal caput. Once forward progression was established, the curvilinear velocity was about the same for sperm from all regions of the tract, whereas straight-line velocity increased between the mid-corpus and cauda and paralleled the decline in lateral displacement of the head. The maintenance of motility in vitro was best maintained by sperm from the distal regions of the tract although sperm from the distal caput maintained motility better than sperm from the proximal and midcorpus regions. Analysis of the motile sperm cells revealed several types of trajectories (“irregular,” “small circular,” “large circular and arcs,” “jagged” and “straight-line”) that were analyzed by discriminant analysis using the variables generated by CASA. Accuracy of classification varied from 70% to 96%, depending on the type of track. The classification function was then applied to the changes that occurred during incubation and showed that irregular trajectories gave way to small and then large circular tracks and progressive forms as sperm matured. © 1996 Wiley-Liss, Inc.     

Relationship between sperm density, spermatocrit, sperm motility and spawning date in wild and cultured haddock

Semen was collected repeatedly from captive haddock Melanogrammus aeglefinus and the effect of seasonality on various sperm parameters was investigated. No differences in sperm traits were observed for wild and cultured haddock. A highly significant positive relationship existed between spermatocrit and spermatozoa density. A significant increase in mean spermatocrit occurred throughout the spawning season but the amount of variability explained by collection date was low (35·1%) due to variability between males. Each of 10 males sampled repeatedly throughout the spawning season demonstrated an increase in spermatocrit. No relationship existed between spermatocrit and proportion of motile spermatozoa when spermatocrit was ≤70%. Motility was reduced in semen samples with spermatocrits >70%. The proportion of spermatozoa that were motile decreased with time since activation. Some motility was still observed after 60 min in sea water (0·1–15·2%) for sperm collected at all times within the spawning season. Of those spermatozoa that were motile, the proportion that exhibited forward swimming motion decreased and the proportion that had only vibratory movement increased with time post‐activation. The speed of forward swimming spermatozoa showed no significant relationship with spermatocrit at any time between 0 and 60 min after activation. Swimming speed was negatively related to time since activation, decreasing from 174–240 μm s⁻¹ at 0 min to 80–128 μm s⁻¹ at 60 min after activation.     

Sperm motility in the horseshoe crab. III. Isolation and characterization of a sperm motility initiating peptide

Sperm motility in Limulus is initiated by a sperm motility initiating factor (SMI) that emanates from Limulus eggs. This report describes the partial purification of SMI (greater than 230-fold purification with respect to protein content) with 40% recovery. SMI appears to be a hydrophobic peptide of 500–2,000 MW. Although probably not purified to homogeneity, SMI is estimated to be active at a concentration of less than 0.2 μM.     

Quantification of bull sperm characteristics measured by computer-assisted sperm analysis (CASA) and the relationship to fertility

Two experiments were conducted to evaluate semen quality of bulls housed under controlled conditions at a large AI facility and relate results to fertility. In Experiment 1 semen was collected from six 6-yr-old bulls twice daily at 3- to 4-d intervals for 3 d. In Experiment 2 eleven 6- to 11-yr-old bulls were used. Extensive breeding information was available and semen was collected as in Experiment 1 but replicated 4 times. Standard semen analysis and computer-assisted sperm analysis (CASA) with the Hamilton Thorne IVOS, model 10 unit, were performed on 36 first and second ejaculates in Experiment 1 and on 44 first ejaculates in Experiment 2. Sixteen fields (2 chambers with 8 fields per chamber) were examined per sample. In Experiment 1 the correlation between estimated sperm concentration by spectrophotometry and CASA was 0.91 (P < 0.01). Among bulls the range in the percentage of motile spermatozoa was 52 to 82 for CASA versus 62 to 69 for subjective measurements made by highly experienced technicians. Thus, CASA, with high repeatability, provided a more discriminating estimate of the percentage of motile sperm cells than did the subjective procedure. Bull effect was much greater than any other variable in the experiments. Chamber differences were small and so the results for the 2 chambers with 8 fields each were combined. One to five CASA values were correlated with bull fertility, defined as 59-day nonreturn rates corrected for cow and herd effects. The percentage of motile spermatozoa accounted for a small fraction of the total variation in fertility (r2 = 0.34). However higher r2 values (0.68 to 0.98) were obtained for 2 to 5 variables used in the multiple regression equations. The results are promising, and further testing will determine more precisely which of these CASA variables are most useful in estimating bull fertility potential.     

Effect of separate and combined exposure of selenium and diazinon on rat sperm motility by computer assisted semen analysis

Effects of selenium (Se) and diazinon (DZN) on sperm motility parameters in rats were investigated. Male rats received a separate dose of Se (2 mg kg⁻¹ b.w., intraperitoneally, 5 mg L⁻¹, per os in drinking water), diazinon (20 mg kg⁻¹ b.w., intraperitoneally, 40 mg L⁻¹, per os in drinking water), and in combination (Se + DZN) with the same dosage as in the separate administration. 36 h an intraperitoneal (i.p.) and after 90 days of per oral (p.o.) exposure, thirteen parameters of sperm motility were evaluated using a Computer Assisted Sperm Analyzer (CASA). Almost all the evaluated sperm motility parameters significantly decreased in Se p.o. exposed groups. In the Se i.p. group decrease was noted only in beat cross frequency (BCF) and progressive motility. Significant decline in the sperm motility, progressive motility, BCF and increase in amplitude of lateral head displacement (ALH) were recorded after DZN i.p. administration. In DZN p.o. group, significant increase in ALH, velocity average path (VAP) and curvilinear velocity (VCL) but decrease in progressive motility and BCF was detected. Se + DZN i.p. administration caused a significant decrease in motility, progressive motility and BCF. Per oral administration of Se + DZN decreased all motility parameters except LIN, WOB and ALH. Sperm abnormalities increased in all experimental conditions. Se and DZN negatively affected sperm structure and function in separate doses or in combination. No protective effect of Se was observed.     

The effect of adjusting settings within a Computer-Assisted Sperm Analysis (CASA) system on bovine sperm motility and morphology results

Semen motility is the most widely recognized semen quality parameter used by Artificial Insemination (AI) centers. With the increasing worldwide export of semen between AI centers there is an increasing need for standardized motility assessment methods. Computer-Assisted Sperm Analysis (CASA) technology is thought to provide an objective motility evaluation; however, results can still vary between laboratories. The aim of present study was to verify the impact of different setting values of the CASA IVOS II on motility, concentration, and morphology of bovine semen samples frozen in an extender with or without egg yolk and then decide on optimal settings for a further validation step across AI centers. Semen straws from 30 different bulls were analyzed using IVOS II with twelve modified settings. No significant changes were observed in semen concentration, percentage of motile sperm or kinetic results for either extender type. However, increasing settings for both STR and VAP progressive (%) from Low, Medium, and High cut-off values significantly (p<0.05) reduced the percentage of detected progressive spermatozoa, in egg yolk extender from 49.5±15.2, 37.2±11.9 to 11.9±5.3%, and in clear extender from 51.9±9.1, 35.8±7.3 to 10.0±2.4%, respectively. In clear extender only, the modification of droplet proximal head length significantly affected the detection of normal sperm percentages (88.0± 4.7 to 95.0±0.6 and 96.0±0.6%) and of the percentage of detected proximal droplets (12.2±4.7, 2.5±2.7 to 0.6±0.2%) for Low, Medium and High values respectively (p<0.05). The identification of sensitivity within the CASA system to changes in set parameters then led to the determination of an optimal IVOS II setting. The existing variability among centers for these phenotypes was reduced when the standardized settings were applied across different CASA units. The results clearly show the importance of applied settings for the final CASA results and emphasize the need for standardized settings to obtain comparable data.