Canine semen evaluation using a new configuration of the CASA system

Belala, R.; Arkoub, M. K.; Medjkoune, M.; Mimoune, N.

doi:10.22099/ijvr.2025.51159.7581

فهرست نشریات

افزایش ضریب تأثیر سه نشریه دانشگاه شیراز در گزارش JCR 2025

ارتقای جایگاه علمی نشریات دانشگاه شیراز در رتبه‌بندی‌های بین‌المللی و منطقه‌ای

برگزاری کارگاه اصول انتشار کتاب در ناشران بین‌المللی

ارتقاء رتبه دو نشریه علمی دانشگاه شیراز در ارزیابی سامانه رتبه‌بندی نشریات کشور

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افتخارآفرینی دبیران مجلات علمی دانشگاه شیراز در عرصۀ بین‌المللی

اطلاعیه برگزاری دوره آموزشی هوش مصنوعی: SWOT و سیاست‌های ناشران بین‌المللی در تاریخ 19 خرداد 1404

ارتقاء رتبۀ مجلۀ علوم ایران از Q3 به Q2

ارتقاء رتبه مجله علوم و فناوری ایران-شاخه مهندسی عمران از رتبه Q3 به Q2

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	Canine semen evaluation using a new configuration of the CASA system
Iranian Journal of Veterinary Research
دوره 26، شماره 3 - شماره پیاپی 92، 2025، صفحه 229-239 اصل مقاله (688.32 K)
نوع مقاله: Full paper (Original article)
شناسه دیجیتال (DOI): 10.22099/ijvr.2025.51159.7581
نویسندگان
R. Belala¹^{، 2}؛ M. K. Arkoub³؛ M. Medjkoune²؛ N. Mimoune^* ¹^{، 2}^{، 4}
¹Animal Biotechnologies Research Laboratory (LBA), Institute of Veterinary Medicine, Saad Dahleb Blida University 1, Blida, Algeria
²Biotechnologies Platform for Animal Medicine & Reproduction (BIOMERA), Saad Dahleb Blida University 1, Blida, Algeria
³Graduated from Biotechnologies Platform for Animal Medicine & Reproduction (BIOMERA), Saad Dahleb Blida University 1, Blida, Algeria
⁴Higher National Veterinary School (ENSV), Algiers, Algeria
چکیده
Background: For many years, the computer-assisted sperm analysis (CASA) has been one standard in the laboratory for semen evaluation, with no clear description of a species-specific setup. Aims: This study aimed to adjust the cell detection parameters (Head Brightness Minimum “HBM” and Head Size Minimum “AREA”) of the CASA system and to assess their effects on evaluating canine semen, specifically concentration and motility. Methods: For this purpose, 20 ejaculates were collected from six dogs and subjected to microscopic assessment of motility, concentration evaluation using the SDM1 photometer, cell counting using a Neubauer chamber, and kinetic and morphometric analysis using the HT-IVOS II CASA system. Each CASA analysis was recorded, and then the video was re-analyzed by changing the two cell detection parameters (HBM and AREA). A total of 27 settings were used, and 560 CASA assessments were performed. Data were statistically analyzed using IBM SPSS. Results: The results showed that the HT-IVOS II CASA system provided an average concentration value (287.17 million spermatozoa (SPZ)/ml) much closer to that obtained by the reference method, Neubauer counting (286.45 million SPZ/ml), compared to the photometer (260.35 million SPZ/ml), which deviated from the gold standard technique by 26 million. In contrast, the IVOS with the adjusted setting (HBM140, AREA4) only presented a difference of 0.5. The IVOS II with the adjusted showing a strong correlation with the Neubauer count and the SDM photometer, with a correlation coefficient of R= 0.94. A perfect concordance was recorded between total and progressive motility evaluated by conventional microscopy and the percentages of motile and progressive sperm analyzed by HT-IVOS at values 120 and 140 for the HBM and 4 and 6 μm² for the AREA. Conclusion: An optimal cell detection parameter setting (HBM: 140 and AREA: 4 μm²) was selected and proposed for the HT-IVOS II CASA system.
کلیدواژه‌ها
Analyzer؛ Cell detection؛ Concentration؛ Dog semen؛ Motility

مراجع
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آمار

Canine semen evaluation using a new configuration of the CASA system

Agarwal, A; Panner, SMK and Ambar, RF (2021). Validation of LensHooke® X1 PRO and computer-assisted semen analyzer compared with laboratory-based manual semen analysis. World J. Mens Health. 39: 496-505.

Arokia, R; Ganapathy, J; Pawshe, M; Tamilmani, T and Mayilsamy, S (2016). Collection and evaluation of canine semen-A review. Int. J. Sci. Environ. Technol., 5: 1586-1595.

Belala, R; Bourahmoune, D and Mimoune, N (2024). The use of computer assisted sperm analysis (CASA) in domestic animal reproduction: A review. Kafkas Univ. Vet. Fak. Derg., 30: 741-751.

Belala, R; Kebbal, S; Bouguetof, C; Medjkoune, M; Mecherouk, C and Mimoune, N (2025a). Morphometric parameters of canine spermatozoa: Comparison between conventional microscopy and CASA system. Med. Weter, 81: 23-31.

Belala, R; Kebbal, S; Medjkoune, M; Tahlout, M; Haffad, Y; Slamani, Y and Mimoune, N (2025b). Canine sperm concentration: comparison between Neubauer cell counting, photometers and a CASA system. Reprod. Domest. Anim., 60: e70104.

Belala, R; Medjkoune, M; Mecherouk, C and Mimoune, N (2025c). Evaluation of soybean lecithin-based extenders in canine semen cryopreservation. Vet. Arhiv., 95: 295-306.

Brito, LFC; Althouse, GC; Aurich, C; Chenoweth, PJ; Eilts, BE; Love, CC; Luvoni, GC; Mitchell, JR; Peter, AT; Pugh, DG and Waberski, D (2016). Andrology laboratory review: Evaluation of sperm concentration. Theriogenology. 85: 1507-1527.

Bulkeley, E; Christine, C; Azarene, F; Kris, G; Heather, P and Stuart, M (2021). Assessment of an iPad-based sperm motility analyzer for determination of canine sperm motility. Transl. Anim. Sci., 5: txab066.

Domoslawska, A; Zdunczyk, S; Nizanski, W and Janowski, T (2013). Assessment of semen quality in infertile dogs using computer assisted sperm analysis by the Hamilton-Thorne Semen Analyser. Bull.Vet. Inst. Pulawy. 57: 429-432.

Hussein, RS; Mohamed, EEM; Mohamed, RR; Abdelbasset, WK; Morsy, WE and Elsayed, SH (2024). Assessment of Sperm Morphometry in Evaluating Male Infertility. Int. J. Biomed., 14: 93-98.

Iguer-Ouada, M and Verstegen, J (2001). Evaluation of the Hamilthon-Thorn computer-based automated system for dog semen analysis. Theriogenology. 55: 733-749.

Jorge-Neto, PN; Araújo, GR; Silva, MCC; Salomao-Jr, JA; Csermak-Jr, AC and Pizutto, CS (2020). Description of the CASA system configuration setup for jaguar (Panthera onca). Anim. Reprod. Sci., 220: 40-41.

Lammers, J; Splingart, C; Barriere, P; Jean, M and Freour, T (2014). Doubleblind prospective study comparing two automated sperm analyzers versus manual semen assessment. J. Assist. Reprod. Genet., 31: 35-43.

Mazzuchini, M; Novello, G and Segabinazzi, L (2024). Modified diff-quick staining for canine sperm morphology. CT. 16. 10.58292/ct.v16.10243.

Meena, AK and Manchiwal, PK (2023). Collection and evaluation of dog semen: A mini review. Pharma Innovation. 12: 1277-1282.

Mortimer, ST; van der Horst, G and Mortimer, D (2015). The future of computer-aided sperm analysis. Asian J. Androl., 17: 545-553.

O’Meara, C; Henrotte, E; Kupisiewicz, K; Latour, C; Broekhuijse, M; Camus, A; Gavin-Plagne, L and Sellem, E (2022). The effect of adjusting settings within a Computer-Assisted Sperm Analysis (CASA) system on bovine sperm motility and morphology results. Anim. Reprod., 19: e20210077.

Önder, NT; Gökdemir, T; Kılıç, MC; Şahin, O; Yıldız, S; Kaçar, C; Demir, MC and Öztürkler, Y (2023). Insulin and bull sperm interactions during cryopreservation. Kafkas Univ. Vet. Fak. Derg., 29: 401-405.

Rijsselaere, T; Soom, AV; Maes, D and De Kruif, A (2003). Effect of technical settings on canine motility parameters measured by Hamilton-Thorne analyzer. Theriogenology. 60: 1553-1568.

Rijsselaere, T; Soom, A; Maes, D and Niżański, W (2012). Computer-Assisted sperm analysis in dogs and cats: An update after 20 years. Reprod. Domest. Anim., 6: 204-207.

Rijsselaere, T; Van Soom, A; Maes, D; Verberckmoes, S and De Kruif, A (2004). Effect of blood admixture on in vitro survival of chilled and frozen-thawed canine spermatozoa. Theriogenology. 61: 1589-1602.

Rijsselaere, T; Van Soom, A; Tanghe, S; Coryn, M; Maes, D and de Kruif, A (2005). New techniques for the assessment of canine semen quality: A review. Theriogenology. 64: 706-719.

Schubert, B; Badiou, M and Force, A (2019). Computer-aided sperm analysis, the new key player in routine sperm assessment. Andrologia. 51: e13417.

Şengül, E; Dayanıklı, C; Alpcan Künyeli, B; Çoban, İ; Bülbül, B; Üstüner, B and Nur, Z (2024). Effect of equex on ram semen in different freezing extenders. Kafkas Univ. Vet. Fak. Derg., 30: 207-214.

Tanga, BM; Qamar, AY; Raza, S; Bang, S; Fang, X; Yoon, K and Cho, J (2021). Semen evaluation: methodological advancements in sperm quality-specific fertility assessment - A review. Anim. Biosci., 34: 1253-1270.

Van der Horst, G and du Plessis, S (2017). Not just the marriage of Figaro: but the marriage of WHO/ESHRE semen analysis criteria with sperm functionality. Post. Androl. Online. 4: 6-21.

Van der Horst, G; Du Plessis, S and Maree, L (2021). Have we conquered sperm morphology analysis in different mammalian species as analysed by CASMA? XIIIth International Symposium on Spermatology, n. pag.10.1007/ 978-3-030-66292-9_38.

WHO (2010). WHO laboratory manual for the examination and processing of human semen. 5th Edn., World Health Organization. PP: 7-164. https://iris.who.int/handle/10665/ 44261.

WHO (2021). WHO laboratory manual for the examination and processing of human semen. 6th Edn., Geneva: World Health Organization. Licence: CC BY-NC-SA 3.0 IGO. PP: 9-246.

Yurdakök-Dikmen, B; Tekin, K; Tırpan, MB; Daşkın, A and Filazi, A (2017). In vitro toxicity of some pesticides on goat and dog spermatozoa. Kafkas Univ. Vet. Fak. Derg., 23: 297-303.

Zhang, M; Gu, L; Zheng, P; Chen, Z; Dou, X; Qin, Q and Cai, X (2020). Improvement of cell counting method for Neubauer counting chamber. J. Clin. Lab. Anal., 34: e23024.