scholarly journals 324 ADJUSTING SPERM CONCENTRATION USED TO INSEMINATE SUPERSTIMULATED BEEF COWS, IN ORDER TO AVOID DECLINE IN EMBRYO PRODUCTION

2005 ◽  
Vol 17 (2) ◽  
pp. 313
Author(s):  
C.M. Barros ◽  
M.F.G. Nogueira
Keyword(s):  
Bos Taurus ◽  
Semen Analysis ◽  
Sperm Concentration ◽  
Fixed Time ◽  
Beef Cows ◽  
The Other ◽  
Computer Assisted ◽  
Frozen Semen ◽  
Group 5 ◽  
Group 2

The quantity and quality of semen may affect conception rate after artificial insemination (AI). The concentration of motile spermatozoa, after thawing, varies according to the sire and lot of frozen semen used. The minimum amount of spermatozoa required in a semen straw was determined to obtain pregnancy after a single AI of a non-superovulated animal. However, superstimulation of embryo donors results in the availability of many more oocytes (an average 10–20) for fertilization than in a non-superovulated female (1 oocyte). The purpose of the present work was to verify if by adjusting the concentration of motile spermatozoa, in straws with low sperm concentration, the percentage of viable embryos is comparable to those obtained using straws with high sperm concentration after thawing. Nelore cows (Bos taurus indicus) were superstimulated with a protocol termed P36 (Barros CM et al. 2003 Theriogenology 59, 524 abst), in which the ovulation is induced by exogenous LH (12.5 mg, Lutropin®, Vetrepharm, London, Ontario, Canada), administered 36 h after PGF2α. One sample of each lot of semen was analyzed by CASA (computer-assisted semen analysis), and motile sperm concentration, after thawing, was adjusted to a minimum of 25–30 × 106 spermatozoa, which is approximately 3 to 4 times higher than the sperm concentration used for a regular AI. Fixed-time AI (FTAI) was performed 12, 24, and sometimes 36 h after exogenous LH. The number of semen straws necessary to obtain at least 25 × 106 spermatozoa varied from 2 to 6 (Groups 2 to 6, respectively). Since at least two semen straws were used per animal, there is no Group 1. The number of FTAI was adjusted according to the number of straws used, i.e., 2 straws (FTAI 12 and 24 h after LH), and 3 or more straws (12, 24, and 36 h after LH). Mean total structures (oocytes, viable embryos and degenerate embryos), mean viable embryos per flushing, and viability rate (percentage of viable embryos/total structures) were, respectively: 12.2, 8.9, and 73.6% (Group 2, n = 19 flushings); 13.5, 9.6, and 70.9% (Group 3, n = 101); 13.3, 9.4, and 70.9% (Group 4, n = 22); 5.5, 4.0, and 72.7% (Group 5, n = 4); and 24.0, 13.0, and 54.2% (Group 6, n = 1). When the results from Groups 4, 5, and 6 were pooled, total structures, viable embryos, and viability rate were: 12.5, 8.7, and 69.8% (n = 27). The statistical analysis was performed using the ratio of viable embryos/total structures for each flushing, transformed in square root followed by arc sin. Data from groups 4, 5 and 6 were pooled before comparing to the other groups by ANOVA. In order to facilitate the comprehension of the results, data were presented as viability rate instead of means of arc sin. There was no difference when comparing pooled data from Groups 4, 5, and 6 with the other groups (2 or 3; P = 0.87; ANOVA). It is concluded that by adjusting the concentration of motile spermatozoa in straws with low sperm concentration (Groups 4, 5, and 6), the viability rates are comparable to those obtained using semen with high sperm concentration (Group 2 or 3). Nogueira has a fellowship from FAPESP (Sã Paulo).

207 INFLUENCE OF THE INTERVAL BETWEEN THAWING TO TRANSFER ON PREGNANCY RATES OF FROZEN - THAWED DIRECT-TRANSFER EMBRYOS

2007 ◽  
Vol 19 (1) ◽  
pp. 220
Author(s):  
G. A. Bo ◽  
L. C. Peres ◽  
D. Pincinato ◽  
M. de la Rey ◽  
R. Tribulo
Keyword(s):  
Bos Taurus ◽  
Body Condition Score ◽  
Bos Indicus ◽  
Fixed Time ◽  
Pregnancy Rates ◽  
Direct Transfer ◽  
Condition Score ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

An experiment was designed to evaluate the effect of the interval between thawing to deposition of the embryo into the uterine horn on pregnancy rates of in vivo-produced frozen–thawed embryos in 1.5 M ethylene glycol (direct transfer). Data were collected from 1122 embryo transfers performed in the same farm (Estancia El Mangrullo, Lavalle, Santiago del Estero, Argentina) during the spring and summer of 2004/05 and 2005/06 (6 replicates, ambient temperature between 20 and 40�C). Recipients used in all replicates were non-lactating, cycling, multiparous Bos taurus � Bos indicus crossbred cows with body condition score between 3 and 4 (1 to 5 scale) that were synchronized using fixed-time embryo transfer protocols. Briefly, the synchronization treatments consisted of the insertion of a Crestar ear implant (Intervet, Sao Paulo, Brazil) or a progesterone-releasing device (DIB; Syntex SA, Buenos Aires, Argentina), plus 2 mg of estradiol benzoate (EB; Syntex) intramuscularly (IM) on Day 0, and 400 IU of eCG (Folligon 5000; Intervet, or Novormon 5000; Syntex) IM plus 150 �g d-cloprostenol IM (Preloban; Intervet, or Ciclase; Syntex) on Day 5. Progestin devices were removed on Day 8 and all cows received 1 mg of EB IM on Day 9. All cows were examined by ultrasonography on Day 16 and those with a luteal area >76 mm2 (by calculating the area of the CL minus the area of the cavity) received, on Day 17, frozen–thawed embryos by nonsurgical transfer. All embryos were Grade 1, and all were frozen in 1.5 M ethylene glycol at the Embryo Plus Laboratory (Brits, South Africa). After being stored in liquid nitrogen, the embryos were plunged directly (no air thawing) in a 30�C water bath for 30 s, and then transferred to the recipient cows by either one of two technicians. Based on the interval between thawing and transfer, the transfers were classified as being in one of 3 groups: Group 1: <3 min; Group 2: 3 to 6 min; and Group 3: 6 to 16 min. The main reason for delayed transfers beyond 6 min was the replacement of one recipient for another because of difficulty in threading the cervix (1% of the total transfers) or a recipient falling down into the chute or with very bad disposition and behavior. Pregnancy was determined by ultrasonography 28 to 35 days after fixed-time embryo transfer, and data were analyzed by logistic regression. There were no effects of replicate, technician, CL area, recipient body condition score, embryo stage, and time from thawing to transfer on pregnancy rates. Pregnancy rates in the 3 thawing to transfer intervals were: Group 1: 215/385, 55.8%; Group 2: 372/655, 56.8%; Group 3: 42/82, 51.2%; P > 0.6. These results may be interpreted to suggest that there is no significant effect of time from thawing to transfer (up to 16 min) in direct transfer embryos using Bos taurus � Bos indicus recipients transferred at a fixed time.

scholarly journals 12PREDICTION OF BULL FERTILITY BY COMPUTER ASSISTED SEMEN ANALYSIS

2004 ◽  
Vol 16 (2) ◽  
pp. 128 ◽  
Author(s):  
S. Cseh ◽  
T. Polichronopoulos ◽  
L. Solti
Keyword(s):  
Sperm Motility ◽  
Semen Analysis ◽  
Computer Assisted ◽  
Reproductive Process ◽  
Return Rates ◽  
Frozen Semen ◽  
Chi Square Analysis ◽  
Fertilizing Capability ◽  
Weighted Values

Sperm motility is clearly essential for fertilization both in vivo and in vitro. Motility is necessary for successful sperm transport, a step that is bypassed with in vitro fertilization. Recently, increasing attention has been paid to the objective evaluation and characterization of sperm motility more than simply determining the total proportion of motile spermatozoa. The purpose of computerassisted semen analysis (CASA) is to provide values for sperm concentration and sperm motility more rapidly and accurately than those obtained with traditional semen analyses methods. The objective of our experiment was to investigate the effect of specific aspects of sperm movement, such as the velocity of progression and the actual pattern of movement, to the fertilizing capability of sperm. Frozen semen samples of 10 HF breeding bulls were used in the study. For the motility analyses, Medealab CASA system (Medealab, Germany, Ver. 4.1) was used, and the velocity parameter of VCL (curvalinear velocity, μms−1), VSL (straight line velocity, μms−1), and VAP (average path velocity, μms−1) were evaluated and compared with the Day 30 and 75 non−return rates (NR30 and NR75). For every sample, a total of 10 fields were examined for 8s using a disposable 20 micron capillary chamber (CellVision, USA) giving a total of 1165 to 2831 cells evaluated. Chi square analysis, analyses of variance and linear correlation coefficient was applied to the statistical evaluation and comparison of the results. Data are based on weighted values. From the same batch of the analyzed frozen semen, a total of 8099 females were inseminated in more than 100 farms with a total of 6590 animals being positive for pregnancy at Day 30 and 4525 animals at Day 75. Within the bulls, differences were found in the values of NR30 and NR75 (P<0.05). Our data indicate very strong differences between the males’ NR30 and NR75 values (NR30: 65.6%±13.04 to 79.6%±11.17; P<0.001 and NR75: 37.8%±10.38 to 58.3%±15.53; P<0.001) reflecting the individual differences in the fertilizing capability of the males. All velocity parameters show very high correlation with strong significance both non−return rates but the best values belong to VAP (NR30 and NR75; P<0.02). Our data indicate that the bulls with lower VCL (25.51±33.04 to 79.54±58.03), VSL (11.35±19.45 to 36.36±35.71), and VAP (12.67±19.06 to 41.75±34.45) values showed lower fertilization rates both at NR30 and NR75. Computer and video technologies have advanced rapidly in recent years; thus the capability and accuracy of the latest versions of CASA systems are considerably better and they give more information about the different motion characteristics of spermatozoa. Because of the vital role of sperm motility in the reproductive process, such systems will enable us to move into a new era of diagnostic andrology and predict the fertilizing capability of semen. Supported by NKFP-Grants 4/040/2001 and 4/031/2001.

scholarly journals Influence of Preoperative Pain Duration on Microsurgical Varicocelectomy Outcomes

2013 ◽  
Vol 2013 ◽  
pp. 1-4
Author(s):  
Mustafa Gökhan Köse ◽  
Kadir Önem ◽  
Mehmet Çetinkaya ◽  
Erkan Karadağ ◽  
Emre Arpali
Keyword(s):  
Semen Quality ◽  
Semen Analysis ◽  
Sperm Concentration ◽  
Sexual Abstinence ◽  
Preoperative Pain ◽  
Intergroup Comparison ◽  
Pain Duration ◽  
Group 2 ◽  
Grade 3 ◽  
Group 1

Objective. To investigate the question of whether duration of pain before surgery ultimately affects sperm parameters after varicocelectomy.Methods. Fifty patients with painful grade-3 varicocele were investigated prospectively. The patients were divided into two groups according to their symptom period. The patients having had grade-3 varicocele for less than 1 year were included in Group-1 (Ge,n=25). Twenty-five patients who had painful grade-3 varicocele for more than 1 year (Gs,n=25) were classified in Group-2. Semen analysis was performed after 3 days of sexual abstinence twice a month. Total sperm concentration (TSC), rapidly progressive motility (SPa), and slow or sluggish motility (SPb) rates were noted. Pain was evaluated by using 10 cm visual analogue scale (VAS).Results. Postoperative TSC and %SPb were significantly higher in both groups (P=0.01). There was no difference between two groups for preoperative and postoperative TSC, %SPa, % and SPb values. VAS significantly declined in both groups (P=0.005). This postoperative decline was not significant for intergroup comparison.Conclusions. Our results show that increase in semen quality and decrease in the pain after microsurgery varicocelectomy do not depend on the duration of the preoperative pain.

scholarly journals Seasonal variations in quantitative and qualitative sperm characteristics in fertile and subfertile stallions

2020 ◽  
Vol 63 (1) ◽  
pp. 145-154 ◽  
Author(s):  
Yara Suliman ◽  
Frank Becker ◽  
Armin Tuchscherer ◽  
Klaus Wimmers
Keyword(s):  
Breeding Season ◽  
Seasonal Variations ◽  
Semen Quality ◽  
Semen Analysis ◽  
Sperm Concentration ◽  
Quality Parameters ◽  
Computer Assisted ◽  
Normal Sperm ◽  
Straight Line ◽  
Significant Seasonal Variation

Abstract. Horses are seasonal breeders with a natural breeding season beginning in spring and extending through midsummer. In this study, quantitative and qualitative parameters of chilled stallion semen were compared between fertile and subfertile stallions and between the breeding and the non-breeding season. Semen quality parameters compared included ejaculate volume, sperm concentration, total sperm number, sperm morphology, and computer-assisted semen analysis (CASA)-derived sperm movement characteristics obtained from two groups of warmblood stallions (n=8; four fertile stallions and four subfertile stallions), which differ in the seasonal pregnancy rate 80 %–90 % (fertile) vs. 40 %–60 % (subfertile). A total of 64 ejaculates were collected from the stallions (n=8; four in the breeding season and four in the non-breeding season of each stallion). No significant differences in the semen quality parameters between the fertile and the subfertile stallions in the non-breeding season were observed. However, in the breeding season the proportion of morphologically normal sperm, total motility, progressive motility, average path velocity (VAP), and curvilinear velocity (VCL) were significantly higher in the fertile group (P<0.05) when compared with the subfertile group. In addition, a significant seasonal variation in the proportion of morphological normal sperm was found in the fertile group between the breeding and the non-breeding season (P<0.05). Moreover, significant seasonal variations (P<0.05) in CASA parameters of mean VAP, straight line velocity (VSL), and beat-cross frequency (BCF) were observed in the fertile and the subfertile stallions, which tended to be lower in the non-breeding season. In conclusion, differences between the fertile and the subfertile stallions were observed only in the breeding season, and a few of CASA-derived parameters seemed to be significantly lower during the non-breeding season in both the fertile and the subfertile stallions.

scholarly journals PERILAKU SOSIAL KERJASAMA SISWA DI SDN 1 TAMBARANGAN

Jurnal Socius ◽  
2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Rezki Anita
Keyword(s):  
Research Method ◽  
Group Learning ◽  
The Other ◽  
Classroom Organization ◽  
Group Activities ◽  
Group Members ◽  
Group 3 ◽  
Group 5 ◽  
Group 2 ◽  
Personal Interests

Based on the observation on the students of SD Negeri Tambarangan 1 showed that there was still low cooperation in various group activities.  The method used in this study was qualitative research method.  The results showed that the students had low cooperation in various group activities at school, including cleaning shift, group learning, and classroom organization.  This is due to: (1) lack of the cooperation spirit within the group, (2) the ambiguity and misunderstanding of each role in the group, (3) the students’ inability to utilize their creativity, (4) the existence of conflicts within the group, (5) students were more concerned with their personal interests, (6) lack of trust in the other group members, (7) less involvement, and (8) the absence of good group organization.Keywords: Cooperation, Group Activities

scholarly journals Microscopic Study of Surface Microtopographic Characteristics of Dental Implants

2016 ◽  
Vol 10 (1) ◽  
pp. 139-147 ◽  
Author(s):  
M. Sezin ◽  
L. Croharé ◽  
J.C. Ibañez
Keyword(s):  
Dental Implants ◽  
Surface Group ◽  
The Other ◽  
Confocal Laser ◽  
Implant Surface ◽  
Average Pore ◽  
Group 4 ◽  
Group 5 ◽  
Group 2 ◽  
Area Unit

Objective:To determine and compare the micro topographic characteristics of dental implants submitted to different surface treatments, using scanning electron microscopy (SEM).Materials and Methods:Implants were divided into 7 groups of 3 specimens each, according to the surface treatment used: group 1: Osseotite, BIOMET 3i; group 2: SLA surface, Institut Straumann AG; group 3: Oxalife surface, Tree-Oss implant; group 4: B&W implant surface; group 5: Q-implant surface; group 6: ML implant surface; group 7: RBM surface, Rosterdent implant. The surfaces were examined under SEM (Carl Zeiss FE-SEM-SIGMA). Image Proplus software was used to determine the number and mean diameter of pores per area unit (mm). The data obtained were analyzed with the Mann-Whitney test. A confocal laser microscope (LEXT-OLS4100 Olympus) was used to conduct the comparative study of surface roughness (Ra). Data were analyzed using Tukey's HSD test.Results:The largest average pore diameter calculated in microns was found in group 5 (3.45 µm+/-1.91) while the smallest in group 7 (1.47µm+/-1.29). Significant differences were observed among each one of the groups studied (p<0.05). The largest number of pores/mm2was found in group 2 (229343) and the smallest number in group 4 (10937). Group 2 showed significant differences regarding the other groups (p<0.05). The greatest roughness (Ra) was observed in group 2 (0.975µm+/-0.115) and the smallest in group 4 (0.304µm+/-0.063). Group 2 was significantly different from the other groups (p<0.05).Conclusion:The micro topography observed in the different groups presented dissimilar and specific features, depending on the chemical treatment used for the surfaces..

scholarly journals Real-Time Single Cell Monitoring: Measurement and Counting of Motile Sperm Using LCR Impedance-Integrated Microfluidic Device

Micromachines ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 647 ◽  
Author(s):  
Chalinee Phiphattanaphiphop ◽  
Komgrit Leksakul ◽  
Rungrueang Phatthanakun ◽  
Apirak Suthummapiwat
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Low Cost ◽  
Semen Analysis ◽  
Sperm Concentration ◽  
Thin Metal Film ◽  
Computer Assisted ◽  
Cell Detection ◽  
Motile Sperm ◽  
Single Cell Detection

In this research, we aimed to count the ratio of the number of motile to immotile sperm for patients with infertility problems based on a low-sperm-concentration examination. The microfluidic system consists of two series of applications: The conventional separation of motile sperm and the proposed inductance (L), capacitance (C), and resistance (R) or LCR impedance sperm counter. In the experiment, 96% of motile sperm were isolated from nonmotile sperm in the first part and transported to the second part to count and calculate real-time sperm concentration. A pair of microelectrodes composed of thin metal film were integrated between microchannels, resulting in a peak signal for LCR single-cell detection, as well as the estimated total sperm concentration. A minimum of 10 µL of the sperm sample was completely analyzed with an accuracy of 94.8% compared with the standard computer-assisted semen analysis (CASA) method. This method could be applied for low-cost sperm separation and counting in the future.

scholarly journals Treatment of ovarian cysts in sows – a field trial

2008 ◽  
Vol 52 (No. 9) ◽  
pp. 413-418 ◽  
Author(s):  
S. Cech ◽  
R. Dolezel
Keyword(s):  
The Other ◽  
Ovarian Cysts ◽  
Control Group ◽  
Initial Examination ◽  
Interval Group ◽  
Group 4 ◽  
Group 3 ◽  
Group 5 ◽  
Group 2 ◽  
Group 1

Different procedures of treatment of large follicular ovarian cysts in 177 sows using GnRH, hCG and PGF2α are evaluated in this study. Ovarian cysts were diagnosed by transcutaneous ultrasonography, which was a part of routine pregnancy diagnosis. No treatment was performed in the control group (Group 1, <i>n</i> = 29); the method of treatment used in the other groups immediately after the diagnosis was intramuscular administration of lecirelin in doses 50 µg (Group 2, <i>n</i> = 28), 100 µg (Group 3, <i>n</i> = 27) and 200 µg divided into 2 equal doses administered at a 12-hour interval (Group 4, <i>n<i> = 25) and of hCG in doses 1 500 IU (Group 5, <i>n</i> = 23), 3 000 IU (Group 6, <i>n</i> = 21), and 250 µg of cloprostenol (Group 7, <i>n</i> = 24). Insemination rate (IR), conception rate (CR) in inseminated sows, pregnancy rate (PR = recovery rate), treatment-insemination interval (TII) and treatment-pregnancy interval (TPI) within 42 days after the initial examination were evaluated. In addition PR in groups of sows divided according to parity (1–3, 4–6 and ≥ 7) were also evaluated. IR and PR were higher in Group 4 (84.0% and 44.0%) and lower in Group 1 (17.2% and 6.9%) in comparison with the other groups (<i>P</i> < 0.001 and <i>P</i> < 0.05). CR, TII and TPI did not differ between the experimental groups. PR were similar in sows with different parity. The study proved a positive response in sows with large follicular ovarian cysts to the treatment consisting of 2 administrations of 100 µg GnRH at a 12-hour interval.

18 SEMENRATE: THE USE OF COMPUTER-ASSISTED SEMEN ANALYSIS AND FLOW CYTOMETRY FOR OBJECTIVE BOVINE SEMEN ANALYSIS IN THE UNITED KINGDOM

2017 ◽  
Vol 29 (1) ◽  
pp. 116
Author(s):  
M. W. Spilman ◽  
K. L. Burton ◽  
J. M. E. Statham
Keyword(s):  
Flow Cytometry ◽  
United Kingdom ◽  
Semen Quality ◽  
Semen Analysis ◽  
Computer Assisted ◽  
Motile Sperm ◽  
Bovine Semen ◽  
The United Kingdom ◽  
Frozen Semen ◽  
Viable Sperm

Routine assessment of bovine semen consists of a subjective assessment of morphology, motility and concentration. This subjective approach used during quality control at semen production centres (SPC) or investigations of poor reproductive performance in veterinary practice has been shown to be relatively inaccurate, imprecise, and operator dependent (Vincent, et al. 2012 Anim. Reprod. 9, 153–165). Assessment of frozen semen samples in a dedicated laboratory aimed to establish variations in multiple parameters associated with fertility using computer-assisted semen analysis and flow cytometry and evaluate their relationship to semen performance in the field. This has developed into a commercial service that is available to veterinarians and farmers across the United Kingdom. AI semen from 50 farms across Yorkshire, UK, that had been stored on farm was assessed for factors associated with fertility (motility, progressive motility, intact acrosome, viability, and polarised mitochondria). Data ranges and mean values for each parameter have been analysed. This analysis is ongoing as the dataset continues to expand and significance will be assessed. For frozen semen (n = 79), % viable sperm (max = 67.64, min = 0.00, mean = 43.44), % sperm with polarised mitochondria (max = 72.50, min = 0.26, mean = 38.56), % sperm with acrosome intact (max = 68.82, min = 0.06, mean = 35.29), % motile sperm (max = 66.90, min = 0.00, mean = 37.44) and % progressively motile sperm (max = 59.00, min = 0.00, mean = 26.11). 25% of the samples fell below the cut off for release of 30% motile sperm set by SPCs. For sexed AI semen (n = 9), % viable sperm (max = 66.31, min = 17.08, mean = 43.57), % polarised mitochondria (max = 26.74, min = 13.40, mean = 19.96), % intact acrosome (max = 52.62, min = 15.34, mean = 37.00), % motile (max = 38.00, min = 9.40, mean = 24.88) and % progressively motile (max = 22.80, min = 3.90, mean = 13.15). Objective semen analysis before beginning an embryo collection programme allows informed decisions to be made regarding semen choice and dosage depending on compensable v. non-compensable defects detected (Hudson et al. 2012 Dairy Herd Health 73–111; CABI Publishing). Use of semen that falls below the 30% cut off for SPCs is unlikely to perform as expected in the field (Phillips et al. 2004 Anim. Reprod. Sci. 80, 47–61). A European collaboration aims to establish correlations between semen quality parameters and fertility outcomes for UK cattle herds, providing unique data for the industry (Sellem et al. 2015 Theriogenology 84, 1447–1454.e5). These data should highlight to stakeholders in the industry how imperative optimal semen quality is and highlight the benefits to herd fertility and financial performance.

P–011 Automated sperm morphology assessment using artificial intelligence technology

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
A Agarwal ◽  
M K Panne. Selvam
Keyword(s):  
Artificial Intelligence ◽  
Predictive Value ◽  
Sperm Morphology ◽  
Semen Quality ◽  
Semen Analysis ◽  
Sperm Concentration ◽  
Ease Of Use ◽  
Computer Assisted ◽  
Diagnostic Use ◽  
Normal Sperm

Abstract Study question Can LensHooke X1 PRO semen analyzer be used to evaluate sperm morphology in men with infertility? Summary answer Morphology results generated by X1 PRO are highly reliable when normal sperm forms are ≥4% and therefore they can be reported in such cases . What is known already Most laboratories rely on manual evaluation of sperm morphology smears, which is a time-consuming procedure and its results are subjected to a relatively high variability. However, in recent years the computer-assisted semen analyzers are being increasingly used to evaluate sperm morphology. The X1 PRO semen quality analyzer was designed for in vitro diagnostic use to analyze sperm concentration, total, progressive and non-progressive motility as well as sperm morphology based on WHO 5th edition criteria. Evaluation of sperm morphology using X1 PRO based on AIOM (Artificial Intelligence Optical Microscopic)-based technology requires no fixation steps or staining unlike the manual method. Study design, size, duration This cross-sectional study used 31 semen samples from 8 normozoospermic healthy volunteers and 5 infertile men with a minimum abstinence period between 2 - 3 days. While the 8 healthy semen donors produced a total of 26 ejaculates, which were split into 88 aliquots, the 5 infertile patients produced 5 ejaculates that were split into 13 aliquots. Participants/materials, setting, methods A total of 101 aliquots were prepared from the native semen samples either by dilution or concentration using seminal plasma of the respective donors. Automated semen analysis was performed by the X1 PRO semen analyzer and the results of sperm morphology were compared with manual morphology results using Diff-Quik staining. Statistical analysis was carried out to calculate the positive predictive value (PPV) and negative predictive value (NPV) of X1 PRO semen analyzer. Main results and the role of chance The X1 PRO sperm morphology results show a weak non-significant (P = 0.2441) correlation (r = 0.119) with the manual results. However, X1 PRO demonstrated a high PPV (97.7%) and a low NPV (9.1%) for correct assessment of sperm morphology (≥4%) when compared to manual results. Due to its high PPV, laboratories can report the morphology results generated by X1 PRO in all such cases when normal sperm forms are ≥4%. However, a manual evaluation is necessary in patients with abnormal morphology (&lt;4%). Limitations, reasons for caution One of the limitation of this study is that X1 PRO morphology values did not correlate with manual results. The low NPV seen in our study is due to the inclusion of very few samples with abnormal sperm forms (&lt;4%) in the analysis. Wider implications of the findings: The X1 PRO’s combination of speed, ease of use, accuracy and portability makes it a good choice of device for small medical offices to large IVF centers. High PPV of X1 PRO allows it to correctly identify normal sperm forms for diagnostic use. Trial registration number 18–771

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