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Journal articles on the topic 'Semen analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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1

Overstreet, James W., and David F. Katz. "Semen Analysis." Urologic Clinics of North America 14, no. 3 (August 1987): 441–49. http://dx.doi.org/10.1016/s0094-0143(21)01750-x.

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2

La Vignera, Sandro, Rosita A. Condorelli, Enzo Vicari, Dario Tumino, Giuseppe Morgia, Vincenzo Favilla, Sebastiano Cimino, and Aldo E. Calogero. "Markers of semen inflammation: supplementary semen analysis?" Journal of Reproductive Immunology 100, no. 1 (November 2013): 2–10. http://dx.doi.org/10.1016/j.jri.2013.05.001.

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3

Ramakrishnan, K. "Postvasectomy Semen Analysis." Journal of the American Board of Family Medicine 18, no. 4 (July 1, 2005): 327. http://dx.doi.org/10.3122/jabfm.18.4.327.

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4

Comhaire, F. "Human semen analysis." Human Reproduction Update 1, no. 4 (July 1, 1995): 343–62. http://dx.doi.org/10.1093/humupd/1.4.343.

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5

McDonough, Paul G., and Subbi Mathur. "Automated Semen Analysis." Fertility and Sterility 52, no. 2 (August 1989): 343–45. http://dx.doi.org/10.1016/s0015-0282(16)60869-5.

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6

McDonough, Paul G., and David Mortimer. "Computerized Semen Analysis." Fertility and Sterility 49, no. 1 (January 1988): 182–85. http://dx.doi.org/10.1016/s0015-0282(16)59678-2.

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7

Witt, Michael A., and John Creer. "The semen analysis." Current Opinion in Urology 3, no. 6 (December 1993): 500–502. http://dx.doi.org/10.1097/00042307-199312000-00011.

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8

Serefoglu, Ege Can. "Computer Assisted Semen Analysis." Türk Üroloji Seminerleri/Turkish Urology Seminars 2, no. 1 (January 1, 2011): 8–10. http://dx.doi.org/10.5152/tus.2011.02.

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9

Kricka, Larry J., and Susan Heyner. "Smartphones and Semen Analysis." Clinical Chemistry 64, no. 2 (February 1, 2018): 257–58. http://dx.doi.org/10.1373/clinchem.2017.274621.

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10

Adelman, Marilyn Marx. "Semen Analysis Training Tool." Laboratory Medicine 30, no. 10 (October 1, 1999): 687–88. http://dx.doi.org/10.1093/labmed/30.10.687.

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11

Leushuis, E., P. M. M. Bossuyt, S. Repping, M. A. Blankenstein, B. W. J. Mol, and P. G. A. Hompes. "Reproducibility of semen analysis." Fertility and Sterility 92, no. 3 (September 2009): S210. http://dx.doi.org/10.1016/j.fertnstert.2009.07.1482.

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12

Duplisea, Jon, and Thomas Whelan. "Compliance with Semen Analysis." Journal of Urology 189, no. 6 (June 2013): 2248–51. http://dx.doi.org/10.1016/j.juro.2013.01.062.

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13

Cooper, T. G., L. Bjorndahl, J. Vreeburg, and E. Nieschlag. "Semen analysis and external quality control schemes for semen analysis need global standardization." International Journal of Andrology 25, no. 5 (October 2002): 306–11. http://dx.doi.org/10.1046/j.1365-2605.2002.00370.x.

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14

M, khter, Bhuiyan M. N. Z, Siddique S, Aleem N. T, Jahan M, and Sultana S. N. "Clinical Evaluation and Semen Analysis in Male Infertility - A Study on 100 Cases." Scholars International Journal of Obstetrics and Gynecology 5, no. 2 (February 15, 2022): 43–51. http://dx.doi.org/10.36348/sijog.2022.v05i02.004.

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One of the important and underappreciated reproductive health problems in developing countries is the high rate of infertility and childlessness. A cross-sectional type of descriptive study was conducted to evaluate the male fertility status by the conventional semen analysis. This study was conducted in which 100 men with age ranged from 20 to 45 years of a primary and secondary infertile couple of more than one year, in the Infertility OPD of Bangabandhu Sheikh Mujib Medical University (BSMMU), Shahbag, Dhaka during October 2012 to March 2013. They were divided into two groups depending on the results of their semen analysis: 35 with abnormal semen and 65 with normal semen profile. The mean (±SD) age was 34.0±4.7 years in patients with abnormal semen and 33.9±5.6 years in patients with normal semen. Nearly one-third (31.42%) of the patients was a farmer in abnormal semen and 7.7% in normal semen. The majority (62.85%) of the abnormal semen patients worked in hot environments, STD was found 20.0% in patients with abnormal semen and 3.1% in patients with normal semen, mumps observed 8.6% in abnormal semen and 3.1% in normal semen patients. Surgical history was found 11.4% in abnormal semen and 1.5% in normal semen patients. Positive family history of infertility was found in 8.6% of abnormal semen patients but no positive family history of infertility was found in normal semen patients. Varicocele was found 25.7% in patients with abnormal semen and 21.5% in patients with normal semen. Primary subfertility was 91.4% in abnormal semen patients and 58.5% in normal semen patients. Farmer, hot working environment, STD, surgical history, positive family history, primary subfertility were significantly (p<0.05) higher in patients with abnormal semen. The highest number of patients were oligospermic (51.4) followed by azoospermia 22.9%, asthenozoospermia 17.1%, teratozoospermia 5.7% and aspermia 2.9%. Occupational exposure, STD, hot environment, past surgical history has a significant negative impact on male infertility.
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15

Boeri, Luca, Edoardo Pozzi, Paolo Capogrosso, Giuseppe Fallara, Federico Belladelli, Luigi Candela, Nicolò Schifano, et al. "Infertile men with semen parameters above WHO reference limits at first assessment may deserve a second semen analysis: Challenging the guidelines in the real-life scenario." PLOS ONE 18, no. 1 (January 19, 2023): e0280519. http://dx.doi.org/10.1371/journal.pone.0280519.

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Objectives To investigate which infertile men with semen parameters above WHO reference limits at first semen analysis deserve a second semen test. Materials and methods Data from 1358 consecutive infertile men were analysed. Patients underwent two consecutive semen analyses at the same laboratory. Descriptive statistics and logistic regression models tested the association between clinical variables and semen parameters. A new predicting model was identified through logistic regression analysis exploring potential predictors of semen parameters below WHO reference limits after a previously normal one. Diagnostic accuracy of the new model was compared with AUA/ASRM and EAU guidelines. Decision curve analyses (DCA) tested their clinical benefit. Results Of 1358, 212 (15.6%) infertile men had semen parameters above WHO reference limits at first analysis. Of 212, 87 (41.0%) had a second semen analysis with results above WHO reference limits. Men with sperm parameters below reference limits at second analysis had higher FSH values, but lower testicular volume (TV) (all p<0.01) compared to men with a second semen analysis above WHO limits. At multivariable logistic regression analysis, lower TV (OR 0.9, p = 0.03), higher FSH (OR 1.2, p<0.01), and lower total sperm count (OR 0.9, p<0.01) were associated with second semen analyses below WHO limits. DCA showed the superior net benefit of using the new model, compared to both AUA/ASRM and EAU guidelines to identify those men with a second semen sample below WHO limits after a previously normal one. Conclusions Approximately 60% of infertile men with a first semen analysis above WHO limits have a second analysis with results below limits. The newly identified risk model might be useful to select infertile men with initial semen results above WHO limits who deserve a second semen analysis.
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16

Keskin, Mehmet Zeynel, Salih Budak, Saim Gubari, Kalender Durmaz, Mehmet Yoldas, Orcun Celik, Evrim Emre Aksoy, and Yusuf Ozlem Ilbey. "Do cigarette and alcohol affect semen analysis?" Archivio Italiano di Urologia e Andrologia 88, no. 1 (March 31, 2016): 56. http://dx.doi.org/10.4081/aiua.2016.1.56.

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Objectives: There are a number of studies about the effect of cigarette and alcohol on semen parameters in the literature. There is not a consensus on the relationship between use of cigarette and alchol and semen parameters in those studies. The number of studies in which cigarette and alcohol use are evaluated together is limited. This study was aimed to analyze the effect of cigarette and/or alcohol use on semen parameters. Methods: In this prospective study, 762 patients who applied to an hospital urology polyclinic between January 2015 and March 2015 due to infertility, were questioned for alcohol and cigarette use in anamnesis. The remaining 356 patients were included in our study. Then, semen analysis of the patients was performed. The patients were divided into five groups according to cigarette use, into five groups according to alcohol use and into four groups according to cigarette and/or alcohol use. Significant differences were analyzed between the groups in terms of semen volume, semen concentration, total motility, forward motility and morphological (normality, head anomaly, neck anomaly, tail anomaly) values. Results: According to cigarette use, only in group 4 (who use more than 20 package-years cigarette) semen volume was significantly lower than the control group (Mann-Whitney U, p = 0.009). There was no significant difference in any of the other parameters and groups compared with the control group (Mann-Whitney U, p &gt; 0,05) Conclusion:According to our study, using more than 20 package- years cigarette decreases semen volume. The reason of this result might be the fact that the threshold value, from which the effect of cigarette and alcohol use on the semen parameters has to be determined.
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17

MD, Dr KrishnaRathod, and Dr ManojNimbalkar MD. "AYURVEDIC METHODS OF SEMEN ANALYSIS." International Journal of Advanced Research 4, no. 10 (October 31, 2016): 1594–95. http://dx.doi.org/10.21474/ijar01/1967.

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18

Bertini, John E., and Albert S. Moraczewski. "Semen Analysis and the Infertile." Ethics & Medics 25, no. 6 (2000): 3–4. http://dx.doi.org/10.5840/em200025612.

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19

Drugkar, Amol Z., N. B. Gosewade, S. D. Gangane, Rakhi M. More, and Swati A. Drugkar. "Semen Analysis in Male Infertility." Indian Journal of Clinical Anatomy and Physiology 3, no. 1 (2016): 13. http://dx.doi.org/10.5958/2394-2126.2016.00004.9.

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20

Kamada, M., S. Yamano, M. Senuma, K. Nakagawa, M. Maegawa, and T. Aono. "Semen Analysis and Antisperm Antibody." Archives of Andrology 40, no. 2 (January 1998): 117–28. http://dx.doi.org/10.3109/01485019808987934.

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21

Coughlin, L. B., J. R. Mcguigan, and N. G. Haddad. "Social class and semen analysis." Journal of Obstetrics and Gynaecology 23, no. 3 (January 1, 2003): 276–77. http://dx.doi.org/10.1080/01443610310000106136.

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22

Kennedy, Richard. "INTERPRETATION OF SEMEN ANALYSIS RESULTS." Obstetrician & Gynaecologist 4, no. 1 (January 2002): 54. http://dx.doi.org/10.1576/toag.2002.4.1.54.

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23

McParland, M. "Semen Analysis. A Practical Guide." Sexually Transmitted Infections 63, no. 4 (August 1, 1987): 280. http://dx.doi.org/10.1136/sti.63.4.280-a.

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24

Mphaphathi, M. L., M. B. Makhafola, P. H. Munyai, T. L. Nedambale, and D. Luseba. "105 CRYOPRESERVATION OF VENDA COCK SPERMATOZOA: EFFECT OF CRYOPROTECTANT FOLLOWING ANALYSIS BY COMPUTER-ASSISTED SPERM ANALYSIS." Reproduction, Fertility and Development 22, no. 1 (2010): 212. http://dx.doi.org/10.1071/rdv22n1ab105.

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The choice of ideal permeable cryoprotectant for cock semen equilibration and freezing is critical. The aim of this study was to compare three different cryoprotectants [dimethyl sulfoxide (DMSO), ethylene glycol (EG), and propanediol (PND)] following cryopreservation. The abdominal massaging technique was used for semen collection from 5 Venda cocks. Individual ejaculates were diluted with modified Kobidil+ (mK+) extender (fraction A) at a ratio of 1:2 and equilibrated for 2 h at 5°C. Semen samples of 5 μL were taken at 0, 60, and 120 min and evaluated by CASA for spermatozoa motility parameters (rapid, medium slow, static, NPM and PM) and velocity. Semen was further diluted at 1:1 volume ratio with mK+ supplemented with 8% DMSO, EG and PND (fraction B), and equilibrated for additional 2h at 5°C and evaluated at 60 and 120 min for motility and velocity. Cooled semen were then transferred into 0.25-mL straws and placed into a programmable freezer. The temperature of the chamber was decreased in a stepwise manner, from 5°C to -20°C, at the rate of 1°C/min until it reached the target temperature. The straws were exposed to liquid nitrogen (LN2) vapor and then plunged into LN2 (-196°C). The semen straws were stored into LN2 tank at -196°C. After 3 months of storage, semen straws were thawed at 5°C and evaluated by CASA for spermatozoa motility and velocity. Data were analyzed by ANOVA. There were no significance differences between DMSO and EG regarding the survival and motility rate of frozen/thawed semen; however, these parameters were lower compared with the fresh semen. The PND was not a suitable cryoprotectant to cryopreserve Venda spermatozoa. In conclusion, ethylene glycol was found to be a suitable cryoprotectant to cryopreserve spermatozoa of South African Venda cocks. Department of Agriculture Forestry and Fisheries, NRF,ARC, Department of Science & Technology.
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Mahdi, Batool Mutar. "Semen Analysis and Insight into Male Infertility." Open Access Macedonian Journal of Medical Sciences 9, A (May 14, 2021): 252–56. http://dx.doi.org/10.3889/oamjms.2021.5911.

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Objectives: Semen analysis is the cornerstone for the valuation of the male partner in the infertile couples. This test has been standardized throughout the world through the World Health Organization (WHO) since the1970s by producing, editing, updating, and disseminating a semen analysis manual and guidelines. A retrospective study to give an insight about male infertility. Methods: This retrospective study assessed the semen findings of 1000 men evaluated at the Department of Urology, Al-Kindy Teaching Hospital in Baghdad-Iraq between January 2016 and May 2019. Semen analysis were done for them. Results: According to WHO standard for semen normality, 1000 samples that were analyzed, normospermia was shown in 835 (83.5%)males (95% CI=0.811-0.857) and 12% had oligospermia and the rest 4.5% was azospermia. The normospermic samples had significantly higher levels regarding the following parameters: count per ml (51.30±1.24) (P= 0.001), volume(3.34±2.31)(P=0.0001), pus cell (8.04±1.02)(P=0.0001), motility (22.81±5.8)(P=0.0001), abnormal motility (22.81±5.8)(P=0.0001) and normal (V)(P=0.0001)or abnormal morphology (25.86 ±12.4)(P=0.0002) when compared with oligospermia. Conclusions: Semen analysis is the keystone of infertile couple. Semen parameters like sperm concentration, motility and morphology, are indicators for male reproductive function. Sperm concentration is declining and there is a significant association between sperm concentration and sperm parameters.
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Agarwal, A., E. Ozturk, and K. R. Loughlin. "Comparison of semen analysis between the two Hamilton-Thorn semen analysers." Andrologia 24, no. 6 (April 24, 2009): 327–29. http://dx.doi.org/10.1111/j.1439-0272.1992.tb02663.x.

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27

Shetty Licht, Rashmi, LiAnn Handel, and Mark Sigman. "Site of semen collection and its effect on semen analysis parameters." Fertility and Sterility 89, no. 2 (February 2008): 395–97. http://dx.doi.org/10.1016/j.fertnstert.2007.02.033.

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28

Qian, Li, Yan Zhou, Chunling Du, Jiangtao Wen, Shijie Teng, and Zhaolin Teng. "IL-18 levels in the semen of male infertility: Semen analysis." International Journal of Biological Macromolecules 64 (March 2014): 190–92. http://dx.doi.org/10.1016/j.ijbiomac.2013.12.005.

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29

Spilman, M. W., K. L. Burton, and J. M. E. Statham. "18 SEMENRATE: THE USE OF COMPUTER-ASSISTED SEMEN ANALYSIS AND FLOW CYTOMETRY FOR OBJECTIVE BOVINE SEMEN ANALYSIS IN THE UNITED KINGDOM." Reproduction, Fertility and Development 29, no. 1 (2017): 116. http://dx.doi.org/10.1071/rdv29n1ab18.

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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.
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P, Dr Lekshmi Ammal. "Abnormalities in Semen Analysis among Male Partners of Infertile Couple." Journal of Medical Science And clinical Research 05, no. 03 (March 26, 2017): 19395–98. http://dx.doi.org/10.18535/jmscr/v5i3.169.

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31

Rajendiran, Sathiyakala, and Ushadevi Gopalan. "Analysis of Semen Parameters in Male Partners of Infertile Couples." Indian Journal of Obstetrics and Gynecology 5, no. 3 (2017): 342–46. http://dx.doi.org/10.21088/ijog.2321.1636.5317.3.

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32

Budai, Csilla, István Egerszegi, József Rátky, and András Kovács. "Storage of ram semen in gelatin supplemented extender." Acta Agraria Debreceniensis, no. 48 (July 31, 2012): 7–10. http://dx.doi.org/10.34101/actaagrar/48/2444.

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The aim of our study was to examine how different gelatin concentrations affect ram semens viability in liquid storage at 5 oC for five days. Our hypothesis was if we add gelatin to the semen extender, than the viability of ram semen will be better in the extenders containing gelatin, than the control. We used two different semen extenders:1.5% UHT milk and 1.5% UHT milk + 5% egg yolk. We added 0; 0.5; 1.0; 1.5; 2.0% Dr. Oetker gelatin to the semen extenders. We stored the semen for five days at 5 oC and in every 24 hour we made sampling.We stained the smears with Kovács-Foote staining and evaluated them with light-microscope. We categorized the cells in five groups like: live and intact cells, live cells with injured acrosome, dead cells, live head with dead tail and live tail with dead head. We used one-way analysis of variance (ANOVA) to assign how gelatin concentration affects the number of the categorized cells. On the fifth day, the viability was the best in the following semen extenders: 1.5% fat UHT milk + 1.0% gelatin and 1.5% fat UHT milk + 1.5% gelatin, but it was not significant (p>0.05).
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33

Milovanović, Aleksandar, Tomislav Barna, Dubravka Milanov, and Miodrag Lazarević. "MODEL FOR COOPERATION BETWEEN BOAR STUDS AND LABORATORIES FOR REPRODUCTION IN BOARS’ SEMEN QUALITY CONTROL." Archives of Veterinary Medicine 6, no. 1 (September 6, 2013): 57–70. http://dx.doi.org/10.46784/e-avm.v6i1.145.

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In this article we presented procedures and results of boar semen quality control performed at the Scientific Veterinary Institute “Novi Sad” based on continuous cooperation with the farms’ centers for boar semen production. Th e data obtained by computer analysis (CASA-computer assisted sperm analysis), flow cytometry and cyto-morphologic examination were used for semen quality evaluation. Th e selected parameters were compared with the reproductive results in sows, such as: farrowing rate, number of piglets per litter, ratio of piglets born alive and stillborn piglets). Semen quality evaluation based on spermatozoa progressive motility, sperm concentration, morphological characteristics and chromatine structure damage were used to give recommendations for semen processing, dilution degree, prospective therapy of boars, or, at least, their culing. Analysis of semen was complemented with seasonal bacterial cultivation and controls in cases of sudden drop on semen quality. Separate fi les containing semen quality graphs and reproductive indicators for easier monitoring were created for every boar. Systematic semen analyses performed by the use of several modern methods, along with periodic bacteriological control, offer possibilities for reliable assessment of boars’ semen quality.
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Didion, B. A. "Computer-assisted semen analysis and its utility for profiling boar semen samples." Theriogenology 70, no. 8 (November 2008): 1374–76. http://dx.doi.org/10.1016/j.theriogenology.2008.07.014.

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35

Moskovtsev, S. I., J. Willis, J. Alexis, J. Mariano, T. Hannam, and B. M. Mullen. "Semen Functional Tests in Evaluation of Patients With Borderline Semen Analysis Results." Fertility and Sterility 84 (September 2005): S221. http://dx.doi.org/10.1016/j.fertnstert.2005.07.564.

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36

Agarwal, Ashok, Rakesh K. Sharma, and David R. Nelson. "New Semen Quality Scores Developed by Principal Component Analysis of Semen Characteristics." Journal of Andrology 24, no. 3 (May 6, 2003): 343–52. http://dx.doi.org/10.1002/j.1939-4640.2003.tb02681.x.

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37

Lonappan, Anil, G. Bindu, Vinu Thomas, and K. T. Mathew. "ANALYSIS OF HUMAN SEMEN USING MICROWAVES." Progress In Electromagnetics Research 57 (2006): 277–84. http://dx.doi.org/10.2528/pier05060201.

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38

García-Molina, Almudena, Anthony Valverde, Daznia Bompart, Carina Caldeira, Alberto Vendrell, and Carles Soler. "Updating semen analysis: a subpopulation approach." Asian Journal of Andrology 22, no. 1 (2020): 118. http://dx.doi.org/10.4103/aja.aja_33_19.

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39

Köse, M. Köse, L. Karakoc Sokmensuer, A. Demir, G. Bozdag, and S. Gunalp. "Manual versus computer-automated semen analysis." Clinical and Experimental Obstetrics & Gynecology 41, no. 6 (December 10, 2014): 662–64. http://dx.doi.org/10.12891/ceog18102014.

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40

Nandakumar, Michael. "AKT question relating to semen analysis." InnovAiT: Education and inspiration for general practice 7, no. 1 (December 20, 2013): 42. http://dx.doi.org/10.1177/1755738013515777.

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41

Formigli, L., S. Al-hasani, C. Roccio, L. Gottardi, and G. Badulli. "Semen Analysis and in vitro Fertilization." Archives of Andrology 14, no. 2-3 (January 1985): 223–26. http://dx.doi.org/10.3109/01485018508988303.

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42

CENARIU, Mihai, Emoke PALL, Mihai BORZAN, Liviu BOGDAN, and Ioan GROZA. "Advanced Techniques of Bovine Semen Analysis." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Veterinary Medicine 75, no. 1 (May 19, 2018): 58. http://dx.doi.org/10.15835/buasvmcn-vm:004317.

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The aim of the study was to assess bull semen fertility parameters using the classical techniques of sperm quality evaluation (density, motility, viability, and morphology, evaluated by light microscopy, in addition to concentration, evaluated via the hemocytometer and microspermatocrit), as well as advanced techniques, like computer assisted sperm analysis (CASA) and flow cytometry. Results obtained for classical techniques were comparable to those obtained by automated methods, without significant differences between parameters. The classical methods were inexpensive but required more time and attention, while the operator’s experience was a key element for accurate assessment of sperm parameters. The advanced techniques were fast and objective, but required expensive equipment and dedicated personnel, with proper training in the field. Therefore, classical techniques are suitable for clinics where occasional evaluation of bulls’ fertility parameters is performed, while the advanced methods should be implemented in semen companies, as well as in fertility clinics and research laboratories.
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43

Ismail, Alaa, and Ahmed Nasr. "Semen analysis: Indispensable, yet non-ideal." Middle East Fertility Society Journal 18, no. 4 (December 2013): 287–88. http://dx.doi.org/10.1016/j.mefs.2013.11.001.

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Marshall, Shari, Salvacion Cortez, Nayana Patel, and Asha Singh. "Performance Improvement Through Automated Semen Analysis." American Journal of Clinical Pathology 138, suppl 1 (July 1, 2012): A077. http://dx.doi.org/10.1093/ajcp/138.suppl1.072.

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45

Brinsko, Steven P. "Analysis of semen in unexplained infertility." Journal of Equine Veterinary Science 21, no. 4 (April 2001): 167. http://dx.doi.org/10.1016/s0737-0806(01)70132-3.

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46

KUCHERIA, K., R. SAXENA, and D. MOHAN. "Semen Analysis in Alcohol Dependence Syndrome." Andrologia 17, no. 6 (April 24, 2009): 558–63. http://dx.doi.org/10.1111/j.1439-0272.1985.tb01714.x.

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47

Ellekilde Bonde, Jens Peter. "Semen analysis from an epidemiologic perspective." Asian Journal of Andrology 12, no. 1 (January 2010): 91–94. http://dx.doi.org/10.1038/aja.2008.49.

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48

Franken, Daniel R., and Sergio Oehninger. "Semen analysis and sperm function testing." Asian Journal of Andrology 14, no. 1 (December 19, 2011): 6–13. http://dx.doi.org/10.1038/aja.2011.58.

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49

NAHOUM, C. R. D., Eva ALMEIDA FONTES, and F. R. FREIRE. "Semen Analysis in Sickle Cell Disease." Andrologia 12, no. 6 (April 24, 2009): 542–45. http://dx.doi.org/10.1111/j.1439-0272.1980.tb01347.x.

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50

Glover, Timothy D., and Hector M. Dott. "A critical look at semen analysis." Human Fertility 2, no. 1 (January 1999): 31–35. http://dx.doi.org/10.1080/1464727992000198291.

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