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1.
In order to obtain a more standardised semen motility evaluation, Varkens KI Nederland has introduced a computer assisted semen analysis (CASA) system in all their pig AI laboratories. The repeatability of CASA was enhanced by standardising for: 1) an optimal sample temperature (39 °C); 2) an optimal dilution factor; 3) optimal mixing of semen and dilution buffer by using mechanical mixing; 4) the slide chamber depth, and together with the previous points; 5) the optimal training of technicians working with the CASA system; and 6) the use of a standard operating procedure (SOP). Once laboratory technicians were trained in using this SOP, they achieved a coefficient of variation of < 5% which was superior to the variation found when the SOP was not strictly used. Microscopic semen motility assessments by eye were subjective and not comparable to the data obtained by standardised CASA. CASA results are preferable as accurate continuous motility dates are generated rather than discrimination motility percentage increments of 10% motility as with motility estimation by laboratory technicians. The higher variability of sperm motility found with CASA and the continuous motility values allow better analysis of the relationship between semen motility characteristics and fertilising capacity. The benefits of standardised CASA for AI is discussed both with respect to estimate the correct dilution factor of the ejaculate for the production of artificial insemination (AI) doses (critical for reducing the number of sperm per AI doses) and thus to get more reliable fertility data from these AI doses in return.  相似文献   

2.
Epididymal semen is being more often considered as a potential source of valuable genes for genome resource banks. To utilize this resource as efficiently as possible, storage and freezing fertility and preservation characteristics of epididymal semen have to be examined. Because semen quality should be assessed as objectively as possible, we introduced computer assisted sperm analysis (CASA) of epididymal bull semen. The aims of this study were: to determine the quality of fresh cauda epididymal bull sperm, conventionally and by CASA (Hamilton-Thorne Ceros 12.1); to compare epididymal sperm movement with the motion characteristics of ejaculated semen; and to investigate whether equality of semen characteristics exists between both caudae epididymides of the same bull. In experiment 1, it is shown that epididymal sperm has a lower motility (total: 48.7% versus 79.9%, p < 0.0001 and progressive: 34.4% versus 58.4%, p < 0.0001) and moves less straight (80.5% versus 84.5%, p < 0.0009) with a higher amplitude (6.1 microm versus 5.0 microm, p < 0.0001) than ejaculated semen. The epididymal straight line velocity (85.2 microm/s versus 98.3 microm/s, p < 0.0001) is lower, but the curvilinear velocity (173.5 microm/s versus 156.4 microm/s, p < 0.0001) is higher than those of ejaculated semen. The data in experiment 2 are analysed to determine equality, rather than to find a difference. They illustrate that mean differences, for most semen parameters, between the semen from paired caudae epididymides, deviated more than 20% from the average values of these parameters from all bulls; the exceptions (those parameters within 20% of the average for all bulls) were the percentage of live spermatozoa, the linearity of sperm movement, the weights of testis and epididymis, the weights of the cauda epididymis alone, the volumes, and the amplitudes of movement of the semen (p < 0.05). The mean differences between the percentage of live spermatozoa and the amplitude of movement of the epididymal semen of both epididymides of one bull, were the only values smaller than 10% of the average value of this parameter (p < 0.05). This implies that sperm from one cauda epididymis should not be used as a control for the other because, for most of the semen parameters (concentration, morphology, motility, and beat cross frequency), equality between caudae epididymides of the same bull could not be established.  相似文献   

3.
Current research aims at reducing the number of sperm per insemination dose thereby making measurement of sperm concentration in raw semen and the production of uniform insemination doses much more crucial. The present study evaluated the determination of sperm concentration using FACSCount AF System (FACS), Improved Neubauer hemocytometer (HEMO), Corning 254 photometer (Photo C254), SpermVision CASA System (SpermVision), UltiMate CASA System (UltiMate) and NucleoCounter SP-100 (SP-100). The instruments were evaluated with respect to repeatability and to establishing the regression curve towards both HEMO and FACS. Repeatability for the instruments was 2.7, 7.1, 10.4, 8.1, 5.4 and 3.1% for FACS, HEMO, Photo C254, SpermVision, UltiMate and SP-100, respectively. Correlation between instruments was highest between FACS and SP-100. This was made possible due to the high repeatability for both instruments. The agreement between the instruments and HEMO as the gold standard was lower than expected as the largest difference in estimation of concentration was -25 to +50%. The largest percentage difference was observed for measurements of dilute semen. It was clear that percentage difference between instruments depended on sperm concentration. In comparison to the gold standard, agreement was highest between SpermVision and HEMO for dilute semen, but for concentrated semen, agreement was highest between SP-100 and HEMO. However, the agreement between HEMO and all other instruments was not as good as expected. The reason may lie within the presence of agglutinated sperm, preventing proper HEMO counts.  相似文献   

4.
Sperm concentration assessment is a key point to insure appropriate sperm number per dose in species subjected to artificial insemination (AI). The aim of the present study was to evaluate the accuracy and reliability of two commercially available photometers, AccuCell™ and AccuRead™ pre-calibrated for boar semen in comparison to UltiMate™ boar version 12.3D, NucleoCounter SP100 and Thoma hemacytometer. For each type of instrument, concentration was measured on 34 boar semen samples in quadruplicate and agreement between measurements and instruments were evaluated. Accuracy for both photometers was illustrated by mean of percentage differences to the general mean. It was −0.6% and 0.5% for Accucell™ and Accuread™ respectively, no significant differences were found between instrument and mean of measurement among all equipment. Repeatability for both photometers was 1.8% and 3.2% for AccuCell™ and AccuRead™ respectively. Low differences were observed between instruments (confidence interval 3%) except when hemacytometer was used as a reference. Even though hemacytometer is considered worldwide as the gold standard, it is the more variable instrument (confidence interval 7.1%).The conclusion is that routine photometry measures of raw semen concentration are reliable, accurate and precise using AccuRead™ or AccuCell™. There are multiple steps in semen processing that can induce sperm loss and therefore increase differences between theoretical and real sperm numbers in doses. Potential biases that depend on the workflow but not on the initial photometric measure of semen concentration are discussed.  相似文献   

5.
《Theriogenology》2011,75(9):1548-1558
The aim of the current study was to investigate the effect of feeding a DHA-enriched nutriceutical on the in vitro quality and sperm motility parameters of fresh and frozen-thawed bull semen assessed by CASA. Samples were obtained from nineteen Holstein bulls used for semen collection at Semen Production Center, Karaj, Iran. Control group (n = 10) were fed a standard concentrate feed while treatment group bulls (n = 9) had this standard feed top dressed with 100 g of a commercially available DHA-enriched nutriceutical. Semen quality was assessed on ejaculates collected at the baseline and after 5, 9, and 12 weeks of supplementation. Classical semen evaluation, assessment of sperm motility (subjective and computer-assisted), viability (eosin-nigrosin), and hypo-osmotic swelling test (HOST) were conducted. Semen volume, sperm concentration, and consequently total sperm output were not affected by dietary treatment (P > 0.05). Feeding the nutriceutical was indeed found to affect sperm motility parameters assessed by CASA after 9 weeks of trial. The treatment has improved total motility (P < 0.01), progressive motility (P < 0.05), average path velocity (P < 0.05), HOST-positive (P < 0.01), and proportion of rapid spermatozoa (P < 0.01) in the fresh semen of bulls. Moreover, the proportion of viable spermatozoa increased (P < 0.05) in the ejaculates collected from nutriceutical-fed bulls compared to the control after 12 weeks of feeding trial. The post-thawed HOST and sperm motility data obtained by CASA did not differ between two groups (P > 0.05). On the other hand, dietary supplementation did not affect body weight, BCS and scrotal circumference. Consequently, it can be concluded that dietary DHA supplementation or its precursors, improve in vitro quality and motility parameters of fresh semen assessed by CASA in Holstein bulls. However, this effect was not pronounced in frozen-thawed semen.  相似文献   

6.
The aim of the current study was to investigate the effect of feeding a DHA-enriched nutriceutical on the in vitro quality and sperm motility parameters of fresh and frozen-thawed bull semen assessed by CASA. Samples were obtained from nineteen Holstein bulls used for semen collection at Semen Production Center, Karaj, Iran. Control group (n = 10) were fed a standard concentrate feed while treatment group bulls (n = 9) had this standard feed top dressed with 100 g of a commercially available DHA-enriched nutriceutical. Semen quality was assessed on ejaculates collected at the baseline and after 5, 9, and 12 weeks of supplementation. Classical semen evaluation, assessment of sperm motility (subjective and computer-assisted), viability (eosin-nigrosin), and hypo-osmotic swelling test (HOST) were conducted. Semen volume, sperm concentration, and consequently total sperm output were not affected by dietary treatment (P > 0.05). Feeding the nutriceutical was indeed found to affect sperm motility parameters assessed by CASA after 9 weeks of trial. The treatment has improved total motility (P < 0.01), progressive motility (P < 0.05), average path velocity (P < 0.05), HOST-positive (P < 0.01), and proportion of rapid spermatozoa (P < 0.01) in the fresh semen of bulls. Moreover, the proportion of viable spermatozoa increased (P < 0.05) in the ejaculates collected from nutriceutical-fed bulls compared to the control after 12 weeks of feeding trial. The post-thawed HOST and sperm motility data obtained by CASA did not differ between two groups (P > 0.05). On the other hand, dietary supplementation did not affect body weight, BCS and scrotal circumference. Consequently, it can be concluded that dietary DHA supplementation or its precursors, improve in vitro quality and motility parameters of fresh semen assessed by CASA in Holstein bulls. However, this effect was not pronounced in frozen-thawed semen.  相似文献   

7.
Didion BA 《Theriogenology》2008,70(8):1374-1376
Achieving and maintaining a successful swine AI program depends on a number of factors, including accurate semen evaluation, typically sperm motility, morphology and concentration. Computer-Assisted Semen Analysis or CASA (i.e., image analysis with a phase-contrast microscope and computer measurements of motion parameters) objectively evaluates sperm motion characteristics, morphology and concentration. A total of 3077 semen collections were evaluated with CASA (on the day of collection), and a semen dose subset was used for single-sire AI of 6266 females over 6 months. Fertility data from these inseminations were fitted with models including farm/stud, line, boar, parity, mating week, semen age at mating and boar age at mating. The residuals from these models showed no correlation for any CASA semen unique motion parameter, which could be due to the level of sperm concentration, the number of inseminations per estrus, and the low number of females mated per boar. Future studies to expand CASA/fertility analysis need to address these constraints and may include analysis of extended boar semen after storage for 1 week.  相似文献   

8.
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.  相似文献   

9.
Quality control in boar semen production by use of the FACSCount AF system   总被引:3,自引:0,他引:3  
A simple and rapid flow cytometric method has recently been developed for simultaneous determination of sperm concentration and viability in semen from domestic animals. Use of SYBR-14 trade mark in combination with propidium iodide (PI) allows estimation of the proportion of live sperm (viability). An internal standard of fluorescent microspheres (beads) makes it possible to determine the sperm concentration during the same analysis. In the first experiment, the relationship between sperm viability and litter size was investigated. The second experiment explored whether a smaller variation in the number of motile sperm per insemination dose could be obtained using the FACSCount AF flow cytometer than using a spectrophotometer. Results in the first experiment show that sperm viability is closer related to litter size than is the traditionally used motility parameter. Although the flow cytometer is precise and objective, a limited effect on litter size should be anticipated if ejaculates are selected for insemination according to the percentage of viable sperm. However, the present trial used large insemination doses (2.3 x 10(9) motile sperm/dose) which partially compensate for the differences in motility and viability between boars and ejaculates. In the second experiment it was found that variation in the number of motile sperm per insemination dose could be reduced significantly if the FACSCount AF flow cytometer rather than the Corning 254 spectrophotometer was used for determination of sperm concentration in the raw semen. It is concluded that the FACSCount AF flow cytometer is a strong tool for improvement of the quality control in artificial insemination (AI) centres.  相似文献   

10.
Computer-aided sperm analysis (CASA) was developed in the last decade to overcome the problems related to the inherent subjectivity of manual semen analysis. A typical CASA system includes a video camera, a microscope equiped with phase optics and a warming stage, a microcomputer with hardware and software dedicated to motion analysis, a monitor and a printer. The image of the sperm cells under the microscope is transformed into discrete pixels producing a voltage proportional to the intensity of the light as light strikes the camera’s CCD array. In standard video technology, the first field (set of rows; odd lines) is scanned in one sixtieth of a second and remains illuminated, then the alternate set of rows (even lines) is scanned in the next one sixtieth of a second to display the complete video frame which requires one thirthieth of a second. The first step called digitization is the encoding of video pixels as numbers following a gray level scale between white and black. From this process the detection of the sperm heads in the field is performed and repeated on a field by field basis. The centroïd coordinates of the sperm heads in the field are calculated and sequentially transmitted to the hard disk. A path finder algorithm connects the centroïds through time allowing the reconstruction of trajectories and the calculation of various parameters. Many factors modulating CASA measurements can invalidate the results of analysis. Consequently, a standardization of CASA is necessary. Various guidelines for accurate analysis are proposed. In summary, basic knowledge on sperm physiology, CASA technology and rigorous standardized conditions of analysis are required for providing reliable and accurate results because CASA systems are not ready-to-use “robots”. CASA is useful for routine semen analysis and essential for the measurement of sperm kinematics for clinical as well as for research purposes.  相似文献   

11.
An update on North American boar stud practices   总被引:1,自引:0,他引:1  
This survey included 44 boar studs from Canada and the USA with a total of approximately 10,000 boars. Studs with 51-500 boars accounted for 84% of respondents. More than 90% of boars were housed in stalls. Evaporative and mechanical cooling systems predominated and boars were typically fed based on body condition. The predominant age of boars was 1-2 years with annual culling rates between 20 and 70%. The primary reasons for culling included genetic improvement, semen quality and feet and leg issues. Collection occurred commonly on Mondays and Thursdays and boars were rested 3-7 days between collections. The average sperm produced per boar per week was 51-150 billions and resulted in 21-40 doses per boar per week. Most studs collected boars using double gloves and disposable cups or liners and used pre-warmed containers. Ejaculate pooling was practiced by >60% of studs. Evaluation of semen for motility was performed with 0-5min of warming in extender with viewing at 100-400x magnification. Concentration estimation occurred by photometer and CASA for 88% of studs. Ejaculate discard occurred for reasons of poor motility, abnormal sperm and bacteria. Most studs retained extended samples for 3-7 days for quality control. Discard rates were most common between 1 and 10% and were related to individual boar and season. Doses of semen contained 2-4 billion sperms, with final sperm numbers adjusted for fertile sperm and packaged as doses in tubes and bags with 60-100mL.  相似文献   

12.
Computer-assisted sperm analyzers (CASA) have become the standard tool for evaluating sperm motility and kinetic patterns because they provide objective data for thousands of sperm tracks. However, these devices are not ready-to-use and standardization of analytical practices is a fundamental requirement. In this study, we evaluated the effects of some settings, such as frame rate and frames per field, chamber and time of analysis, and samples preparations, including thawing temperature, sperm sample concentration, and media used for dilution, on the kinetic results of bovine frozen-thawed semen using a CASA. In Experiment 1, the frame rate (30-60 frame/s) significantly affected motility parameters, whereas the number of frames per field (30 or 45) did not seem to affect sperm kinetics. In Experiment 2, the thawing protocol affects sperm motility and kinetic parameters. Sperm sample concentration significantly limited the opportunity to perform the analysis and the kinetic results. A concentration of 100 and 50 × 106 sperm/mL limited the device's ability to perform the analysis or gave wrong results, whereas 5, 10, 20, and 30 × 106 sperm/mL concentrations allowed the analysis to be performed, but with different results (Experiment 3). The medium used for the dilution of the sample, which is fundamental for a correct sperm head detection, affects sperm motility results (Experiment 4). In this study, Makler and Leja chambers were used to perform the semen analysis with CASA devices. The chamber used significantly affected motility results (Experiment 5). The time between chamber loading and analysis affected sperm velocities, regardless of chamber used. Based on results recorded in this study, we propose that the CASA evaluation of motility of bovine frozen-thawed semen using Hamilton-Thorne IVOS 12.3 should be performed using a frame rate of 60 frame/s and 30 frames per field. Semen should be diluted at least at 20 × 106 sperm/mL using PBS. Furthermore, it is necessary to consider the type of chamber used and perform the analysis within 1 or 2 min, regardless of the chamber used.  相似文献   

13.
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.  相似文献   

14.
Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other laboratory procedures using e-learning.  相似文献   

15.
In this study, we evaluated the potential effect of the method of recovery (artificial vagina or electroejaculation) on the production and quality of Guirra ram spermatozoa cryopreserved for the possible constitution of a sperm bank. In order to address this question, we evaluated the effect of semen collection method on fresh semen quality parameters, including: volume, concentration, production, microscopic analysis (abnormal sperm and intact apical ridge) and sperm motility parameters determined by CASA system. For frozen-thawed semen, we evaluated motility parameters by CASA and intact apical ridge, acrosomal status, assessed by dual staining by IP and FITC-PNA and capacitation status, assessed by M540 and Yo-pro1, using flow cytometry. The main findings from this study were: (i) that electroejaculation resulted in a lower recovery efficiency (80% of the cases), as a consequence of contamination with urine or lack of response to the electrical stimulation; (ii) the fresh seminal quality was not significantly different between recovery methods, except for the concentration of spermatozoa, but total number of spermatozoa and the consequent number of possible seminal doses for artificial insemination were similar; and, (iii) a higher number of stable and functional spermatozoa (higher number of live non-capacitated cells, higher live acrosome intact cells and live acrosome reacted cells) were found for frozen-thawed spermatozoa collected by electro ejaculation than by artificial vagina. According to our results, we are able to develop both methodologies in the creation of the Guirra sperm bank. Assuming the advantages and limitations of both methodologies, in Guirra breed, would enable the rapid constitution of a sperm bank including samples from a large number of non-trained rams in a short period of time, which will increase the genetic variability, and so guarantee the conservation of this breed.  相似文献   

16.
The objective of this study was to compare the effects of dimethylformamide (DMF) and glycerol in canine (Canis lupus familiaris) semen cryopreservation based on postthaw motility and velocity evaluated by computer-assisted sperm analysis (CASA) and the effects on subjective progressive motility, percentage of live sperm, and plasma membrane functional integrity. The semen was diluted in two steps with an egg-yolk Tris extender containing 6% glycerol or DMF, frozen in 0.25-mL straws, and stored in liquid nitrogen. Immediately after thawing, samples were accessed for subjective sperm motility, sperm membrane functional integrity, percentage of live sperm, and evaluation by CASA. There were differences (P < 0.05) between glycerol and DMF with regard to subjective progressive motility (43.1% vs. 21.5%), objective progressive motility (11.8% vs. 6.2%), velocity average pathway (31.1 vs. 23.1 μm/sec), and amplitude of lateral head (3.3 vs. 3.9 μm), which confirmed the efficiency of glycerol. In conclusion, objective analysis performed by CASA confirmed that no benefits were derived by using DMF to replace glycerol for cryopreservation of canine semen.  相似文献   

17.
The aim of these experiments was to compare conventional, microscopic methods of evaluating pigeon sperm motility and concentration to those measured by computer-assisted sperm analysis (CASA system). Semen was collected twice a week from two groups of pigeons, each of 40 males (group I: meat-type breed; group II: fancy pigeon) using the lumbo-sacral and cloacal region massage method. Ejaculates collected in each group were diluted 1:100 in BPSE solution and divided into two equal samples. One sample was examined subjectively by microscope and the second one was analysed using CASA system. The sperm concentration was measured by CASA using the anti-collision (AC) system and fluorescent staining (IDENT). There were not any significant differences between the methods of evaluation of sperm concentration. High positive correlations in both groups were observed between the sperm concentration estimated by Thom counting chamber and AC (r=0.87 and r=0.91, respectively), and between the sperm concentration evaluated by Thom counting chamber and IDENT (r=0.85 and r=0.90, respectively). The mean values for CASA measurement of proportion of motile spermatozoa (MOT) and progressive movement (PMOT) were significantly lower than the values estimated subjectively in both groups of pigeons (p< or =0.05 and p< or =0.01, respectively). Positive correlations in MOT and PMOT were noted between both methods of evaluation. The CASA system is very rapid, objective and sensitive method in detecting subtle motility characteristics as well as sperm concentration and is recommended for future research into pigeon semen.  相似文献   

18.
Routine semen analysis includes evaluation of concentration combined with seminal volume, morphology and motility. Subjective analysis of these parameters is known to be inaccurate, imprecise and subject to variability. Automated semen analysis could lead to an increased standardization in and between laboratories but for that to happen automated devices need to be validated. A new device, the sperm quality analyzer V equine (SQA-Ve) version 1.00.43, was evaluated for its repeatability and agreement with light microscopy (LM), for raw and extended equine semen. Results were compared with computer assisted sperm analysis (CASA), which was also tested for its repeatability and agreement with LM. The SQA-Ve showed a good repeatability and fine agreement for assessing sperm concentration of raw semen based on scatter and Bland-Altman plots. This was in contrast with the motility parameters, which had a low repeatability. Morphology assessment with SQA-Ve was poorly repeatable as well as in poor agreement with LM. For extended semen, the findings were comparable. The SQA-Ve did well for concentration, whereas for the motility parameters repeatability was only just acceptable, with no agreement with LM. This sharply contrasted the CASA findings that were highly repeatable and almost in perfect agreement with LM. Based on these findings, the tested version of the SQA-Ve is insufficiently accurate to be used for analyzing raw or extended equine semen.  相似文献   

19.
Sperm viability in aquatic species is increasingly being evaluated by motility analysis via computer-assisted sperm analysis (CASA) following activation of sperm with manual dilution and mixing by hand. User variation can limit the speed and control over the activation process, preventing consistent motility analysis. This is further complicated by the short interval (i.e., less than 15 s) of burst motility in these species. The objectives of this study were to develop a staggered herringbone microfluidic mixer to: 1) activate small volumes of Danio pearl zebrafish (Danio albolineatus) sperm by rapid mixing with diluent, and 2) position sperm in a viewing chamber for motility evaluation using a standard CASA system. A herringbone micromixer was fabricated in polydimethylsiloxane (PDMS) to yield high quality smooth surfaces. Based on fluorescence microscopy, mixing efficiency exceeding 90% was achieved within 5 s for a range of flow rates (from 50 to 250 μL/h), with a correlation of mixing distances and mixing efficiency. For example, at the nominal flow rate of 100 μL/h, there was a significant difference in mixing efficiency between 3.5 mm (75 ± 4%; mean ± SD) and 7 mm (92 ± 2%; P = 0.002). The PDMS micromixer, integrated with standard volumetric slides, demonstrated activation of fresh zebrafish sperm with reduced user variation, greater control, and without morphologic damage to sperm. Analysis of zebrafish sperm viability by CASA revealed a statistically higher motility rate for activation by micromixing (56 ± 4%) than manual activation (45 ± 7%; n = 5, P = 0.011). This micromixer represented a first step in streamlining methods for consistent, rapid assessment of sperm quality for zebrafish and other aquatic species. The capability to rapidly activate sperm and consistently measure motility with CASA using the PDMS micromixer described herein will improve studies of germplasm physiology and cryopreservation.  相似文献   

20.
Computer-assisted sperm analyzers (CASA) have become the standard tool for evaluating sperm motility because they provide objective results for thousands of mammalian spermatozoa. Mammalian spermatozoa experience osmotic stress when the glycerol is added to the cells prior to freezing and removal from the cells after thawing. In order to minimize osmotic damage, cryoprotectants having lower molecular weights and greater membrane permeability than glycerol, were evaluated to determine their effectiveness for cryopreserving bull spermatozoa. The aim of this study was to compare the cryopreservation effects of low molecular weight cryoprotectants (ethylene glycol and methanol) to glycerol, on post-thaw CASA sperm parameters. Bull semen was diluted with tris-egg yolk extender containing 3% glycerol, 3, 2 and 1% ethylene glycol or 3, 2 and 1% methanol. Bull semen was frozen in 0.5 straws. Bull spermatozoa exhibited higher percentages (p<0.01) for total (Mot, 72.4%) and progressively (Prog, 29.5%) motilities when frozen in extender containing 3% glycerol compared to 3, 2 and 1% ethylene glycol or 3, 2 and 1% methanol. In conclusion, no advantages were found in using ethylene glycol or methanol to replace glycerol in bull semen freezing. Glycerol provided the best sperm characteristics for bull spermatozoa after freezing and thawing. The possibility of using ethylene glycol or methanol as permeating cryoprotectants for bull semen deserves further investigation, and these cryoprotectants should also be evaluated in extenders that contain disaccharides or cholesterol.  相似文献   

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