Sperm motility analysis system implemented on a hybrid architecture to produce an intelligent analyzer

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dc.authorid0000-0003-1282-0340
dc.authorid0000-0003-3377-2560
dc.authorid0000-0001-8590-1518
dc.contributor.authorŞavkay, Osman Leventen_US
dc.contributor.authorYalçın, Müştak Erhanen_US
dc.contributor.authorTavşanoğlu, Ahmet Vedaten_US
dc.date.accessioned2020-04-21T12:02:49Z
dc.date.available2020-04-21T12:02:49Z
dc.date.issued2020
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractMuch research and analysis in biomedicine involve image and video inspection using microscopes. Presently, scientists are dissatisfied with manual observations and assessments, when objective and enhanced data can be obtained by applying new technologies (such as image and video inspection) to biomedical fields, such as sperm analysis. Computer Assisted Sperm Analysis (CASA) systems, developed in the late 1980s, constitute third-generation methods of sperm analysis. This study aimed to develop a standalone medical image and video analysis system that is reconfigurable, flexible, reliable, deterministic, and robust. It proposed a new sperm motility analysis system running on a dual core Central Processing Unit (CPU) + field programmable gate arrays (FPGA) platform, under a real-time operating system (RTOS), which is a step ahead of the third-generation CASA systems. The system hardware and related sperm detection and tracking algorithms were the novelty of this work. The image processing functions mainly run on FPGA, image acquisition, and calculations run on CPU, parallel with FPGA. The result is a much faster, reliable, reconfigurable, and compact intelligent analyzer system. Our prototype system was applied to sperm motility analysis; however, other image processing systems can be applied to this architecture. Additionally, the proposed tracking method for sperm track determination is simple, effective, and does not exert a load on the system.en_US
dc.description.sponsorshipWe are thankful to Prof. Dr. Erol Tavmergen, Ege University Family Planning, Infertility Research and Treatment Center, and the laboratory people at the center for their support, help and for providing human semen samples and comments on motility analysis. We also thank Geli?im T?p (Medical) Laboratory for showing and introducing us to their CASA system, for taking semen sample videos and providing comments on sperm analysis. We are thankful to Assist. Prof. Dr. Kamber Demir, Dr. Ramazan Ar?c?, Dr. Ahmet Eser from ?stanbul University ? Cerrahpa?a Faculty of Veterinary Medicine, Department of Reproduction and Artificial Insemination, for opening the laboratories, their comments and their help in conducting the tests and providing the samples.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationŞavkay, O. L., Yalçın, M. E. & Tavşanoğlu, A. V. (2020). Sperm motility analysis system implemented on a hybrid architecture to produce an intelligent analyzer. Informatics in Medicine Unlocked, 19, 100324, 1-12. doi:10.1016/j.imu.2020.100324en_US
dc.identifier.doi10.1016/j.imu.2020.100324
dc.identifier.endpage12
dc.identifier.issn2352-9148
dc.identifier.scopus2-s2.0-85082863547
dc.identifier.scopusqualityQ2
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/2306
dc.identifier.urihttp://dx.doi.org/10.1016/j.imu.2020.100324
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTavşanoğlu, Ahmet Vedaten_US
dc.institutionauthorid0000-0001-8590-1518
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofInformatics in Medicine Unlockeden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFPGAen_US
dc.subjectMotilityen_US
dc.subjectObject determinationen_US
dc.subjectReal-time operating systemen_US
dc.subjectSemen analysisen_US
dc.subjectSemen samplesen_US
dc.subjectSperm analysisen_US
dc.subjectSpermatozoaen_US
dc.subjectTrackingen_US
dc.titleSperm motility analysis system implemented on a hybrid architecture to produce an intelligent analyzeren_US
dc.typeArticleen_US
dspace.entity.typePublication

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