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    Tracking of Human Sperm Cell using a Dynamic Bayesian Network Based Framework

    , Ph.D. Dissertation Sharif University of Technology Arasteh, Abdollah (Author) ; Vosoughi Vahdat, Bijan (Supervisor) ; Salman Yazdi, Reza (Co-Supervisor)
    Abstract
    Infertility is an important problem to deal in medicine. In every four couples, on average, one couple is affected by infertility in developing countries. In the majority of cases, the infertility of men has a relationship with spermatozoa and semen, and can be measured by semen and spermatozoa analysis for more advanced diagnosis and treatments. Analysis of the movement patterns of spermatozoa were performed by expert screeners earlier, but nowadays, many of these analyzes are performed using computer-based systems called computer assisted sperm analysis (CASA). The benefits of using CASA instead of expert screeners are achieving system-independency and numerical results at the end of the... 

    Automatic Analysis and Tracking of Motile Cells in Video Microscopy

    , M.Sc. Thesis Sharif University of Technology Shayegh, Zahra (Author) ; Vosughi Vahdat, Bijan (Supervisor) ; Rabiei, Hamid Reza (Supervisor) ; Salman Yazdi, Reza (Co-Advisor)
    Abstract
    Analysis of semen and quality assessments of sperm cells is of great importance in scrutiny of male fertility. Several methods have been introduced for analyzing and identification of the sperm motility and morphology in a semen sample. Identifying and tracking of rapid and variant movements of multiple sperms, in a short duration of time, is somewhat difficult and complex for human, even for an expert. Then applying semi-automated or automated (un-supervised) methods, based on image analysis and computing, spread fast and computer aided semen analyzer systems, became wildly used in clinical and research laboratories.
    In this paper we propose an efficient multiple tracking methods to...