Spermatozoa Morphology Examination Using Lenshooke SQA X1 Pro Compared with Manual Method
Article Sidebar
Main Article Content
Abstract
According to World Health Organization data, 30-40% of infertility is caused by male factors. The morphology of normal spermatozoa is an indicator of male fertility, and it is known by manual or automatic sperm analysis. Lenshooke SQA X1 PRO automatic equipment comes along with the development of laboratory equipment automation technology. The working principle of this tool is by shining light on the object of examination, then the camera with high resolution, with the facility of an optical lens will take a picture of the object. The database recorded by the camera is analyzed by the algorithm. The research objective was to test the suitability of the Lenshooke SQA X1 PRO automatic tool with manual method as the Gold Standard. Subjects in this study were patients who carried out semen analysis tests at the Clinical Pathology Laboratory of RSIA "Restu Ibu" Sragen from June to August 2020. The examination method used an automatic method with the Lenshooke SQA X1 PRO tool and a manual method with Papanicolaou staining. The results of the study, conformity test with WHO 2010 normal standards, automatic methods reached 94.4% compared to manual methods. The next statistical test was with standard mean, normal sperm morphology data had a significance of 0.001, abnormal sperm head data had a significance value of 0.956 and abnormal sperm tail data had a significance value of 0.339. The Lenshooke SQA XI PRO device based on automatic technology can be used in laboratory services for sperm analysis in addition to manual methods. Suggestions for using the Lenshooke XI PRO automatic tools are still accompanied by the manual method.
Downloads
Article Details
Copyright (c) 2022 Adhipireno Purwanto, Edy Purwanto, Suyono Seso Sulijaya, Ismawatie Emma, Santoso Budi, Limijadi Edward Kurnia Setiawan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
Lasiene K. Assessment of human sperm cells morphological parameters. Spermatozoa - Facts and Perspectives. 2018 ; 51-62.
Susilowati T. Buku Spermatology. edisi 1. Malang. Universitas Brawijaya Press. 2011. 3-7p.
Tortora GJ, Derrickson B. Principles of anatomy & physiology .14 ed. America . Kaye Pace . 2014. 1078p.
Agarwal A, Henkel R, Huang CC, Lee MS. Automation of human semen analysis using a novel artificial intelligence optical microscopic technology. Andrologia.2019; 2. 1-9.
Chang V, Heutte L, Petitjean C, Härtel S, Hitschfeld N. Automatic classification of human sperm head morphology. Computers in Biology and Medicine. 2017 ; 84.205-16.
Danis RB, Samplaski MK. Sperm morphology: History, challenges, and impact on natural and assisted fertility. Current Urology Reports. 2019; 20. 43.
Rowe M, Albrecht T, Cramer ERA, Johnsen A, Laskemoen T, Weir JT, et al. Postcopulatory sexual selection is associated with accelerated evolution of sperm morphology. Evolution.2015 ; 69 (4) :1044-52.
Dearing C, Jayasena C, Lindsay K. Can the cperm class analyser (sca) casa-Mot system for human sperm motility analysis reduce imprecision and operator subjectivity and improve semen analysis?. Human Fertility . 2014; 17(1): 37–44.
Lestari SW, Sari T. Fragmentasi DNA spermatozoa penyebab deteksi dan implikasinya pada infertilitas laki-laki. e Journal Kedokteran Indonesia. 2015;3(2):1–2.
Engel KM, Grunewald S, Schiller J, Paasch U. Automated semen analysis by SQA Vision ® versus the manual approach—A prospective double-blind study. Andrologia. 2019 ; 51(1): 1-10.
Bonraybio. Lenshooke XI PRO Semen Quality Analyzer. 2019; 1-4. http://bonraybio.com/en/product.php?act=view&id=8.
WHO. Laboratory manual for the examination and rrocessing of human semen. 5 ed. WHO Library. 2010.
Auger J. Spermatozoa and Sperm Structure. Second Edi. Vol. 1, Encyclopedia of Reproduction. Elsevier; 2018. 62-67 p.
Aksoy E, Aktan TM, Duman S, Cuce G. Assessment of spermatozoa morphology under Light Microscopy with different histologic stains and comparison of morphometric measurements. International Journal of Morphology. 2012 ; 30 (4):1544-550.
Narulita P. The Effectiveness of Lenshooke TM Semen Quality Analyzer X1 Pro for Human Semen Analysis. Fac Med Univ Airlangga, Surabaya. 2020;1(1).
Sugiyono. Metode Penelitian Kuantitatif Kualitatif dan R&D. Graha Ilmu. edisi1.Bandung, Alfabeta.2019. 286 - 292p.
Amann RP, Waberski D. Computer-assisted sperm analysis (casa): Capabilities and potential developments. Theriogenology.2014 ; 81(1)5-17.
Apriora VD, Amir A, Khairsyaf O. Gambaran Morfologi Spermatozoa pada Perokok Sedang di Lingkungan PE Group yang Datang ke Bagian Biologi Fakultas Kedokteran Universitas Andalas. J Kesehat Andalas. 2015;4(2):425–9.
Marzano G, Chiriacò MS, Primiceri E, Dell’Aquila ME, Ramalho-Santos J, Zara V, et al. Sperm selection in assisted reproduction: A review of established methods and cutting-edge possibilities. Biotechnology Advances. 2019 ; ( 19 ) : 3.
