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Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 (AISI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 845))

Abstract

In this paper, a proposed system for automatic counting and visual multi-tracking for human sperm in microscopic video frames is presented. It can be easily turned into a commercial computer-assisted sperm analysis (CASA) system. CASA systems help in detecting infertility in human sperm according to clinical parameters. The proposed system consists of nine phases and it counts sperm in every single frame of video in real time and calculates the average sperm count through the whole video with accuracy 94.3% if it is compared to the manual counting. Also, it tracks all identified sperm in video frames in real time. It works with different frame rates above 15 frame/s to track visually the movements of the sperm. The dataset consists of three high-quality 1080p videos with different frame rates and durations. Finally, the open challenging research points are addressed.

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References

  1. Hallak, J.: A call for more responsible use of assisted reproductive technologies (ARTs) in male infertility: the hidden consequences of abuse, lack of andrological investigation and inaction. Transl. Androl. Urol. 6, 997–1004 (2017). https://doi.org/10.21037/tau.2017.08.03

    Article  Google Scholar 

  2. Mansour, R., El-Faissal, Y., Kamal, O.: The Egyptian IVF registry report: assisted reproductive technology in Egypt 2005. Middle East Fertil. Soc. J. 19, 16–21 (2014). https://doi.org/10.1016/j.mefs.2014.01.001

    Article  Google Scholar 

  3. Gómez Montoto, L., Magaña, C., Tourmente, M., Martín-Coello, J., Crespo, C., Luque-Larena, J.J., Gomendio, M., Roldan, E.R.S.: Sperm competition, sperm numbers and sperm quality in muroid rodents. PLoS ONE 6, e18173 (2011). https://doi.org/10.1371/journal.pone.0018173

    Article  Google Scholar 

  4. Urbano, L.F., Masson, P., VerMilyea, M., Kam, M.: Automatic tracking and motility analysis of human sperm in time-lapse images. IEEE Trans. Med. Imaging 36, 792–801 (2017). https://doi.org/10.1109/TMI.2016.2630720

    Article  Google Scholar 

  5. World Health Organization: WHO Laboratory Manual for the Examination and Processing of Human Semen. World Health Organization, Geneva (2010)

    Google Scholar 

  6. Katz, D.F., Davis, R.O., Delandmeter, B.A., Overstreet, J.W.: Real-time analysis of sperm motion using automatic video image digitization. Comput. Methods Programs Biomed. 21, 173–182 (1985). https://doi.org/10.1016/0169-2607(85)90002-1

    Article  Google Scholar 

  7. Beresford-Smith, B., Van Helden, D.F.: Applications of radar tracking algorithms to motion analysis in biomedical images. In: Proceedings of 1st International Conference on Image Processing. IEEE Computer Society Press, pp. 411–415 (1994)

    Google Scholar 

  8. Tomlinson, M.J., Pooley, K., Simpson, T., Newton, T., Hopkisson, J., Jayaprakasan, K., Jayaprakasan, R., Naeem, A., Pridmore, T.: Validation of a novel computer-assisted sperm analysis (CASA) system using multitarget-tracking algorithms. Fertil. Steril. 93, 1911–1920 (2010). https://doi.org/10.1016/j.fertnstert.2008.12.064

    Article  Google Scholar 

  9. Hidayatullah, P., Mengko, T.L.E.R., Munir, R.: A survey on multisperm tracking for sperm motility measurement. Int. J. Mach. Learn. Comput. 7, 144–151 (2017). https://doi.org/10.18178/ijmlc.2017.7.5.637

    Article  Google Scholar 

  10. Amann, R.P., Waberski, D.: Computer-assisted sperm analysis (CASA): capabilities and potential developments. Theriogenology. 81, 5.e3–17.e3 (2014). https://doi.org/10.1016/j.theriogenology.2013.09.004

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha & Aboul Ella Hassanien

  2. Scientific Research Group in Egypt (SRGE), Giza, Egypt

    Nour Eldeen M. Khalifa & Aboul Ella Hassanien

Authors
  1. Nour Eldeen M. Khalifa
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  2. Mohamed Hamed N. Taha
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  3. Aboul Ella Hassanien
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Corresponding author

Correspondence to Nour Eldeen M. Khalifa .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  4. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Khalifa, N.E.M., Taha, M.H.N., Hassanien, A.E. (2019). Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames. In: Hassanien, A., Tolba, M., Shaalan, K., Azar, A. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_48

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