Araştırma Makalesi

Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis

Cilt: 6 Sayı: 3 1 Aralık 2021
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Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis

Öz

Measurement of sperm velocity parameters takes an important place in sperm analysis. Today, computer-assisted sperm analysis (CASA) systems are used to detect motility measurements such as VCL (Curvilinear Velocity), VSL (Linear Velocity) and VAP (Average Path Velocity). The path length of sperm cells is necessary to calculate the motility parameters and it is calculated using video processing. However, this path length is obtained by the discrete-time processing of video frames, which can lead to unrealistic results. In CASA systems, the frame rate of the videos is increased to obtain the natural path length, but in this case, it is necessary to increase the hardware cost as well. Polynomial modeling applied to measure the natural path length in discrete-time structures can solve this problem. In this study, Lagrange interpolation which is an effective polynomial modeling method was used to obtain the natural path length and velocity parameters of the sperm. The results of the study showed that, when applied the polynomial modeling to calculate VCL and VAP parameters, it was found that especially in the low frame rate, more effective data were obtained than the classical method. As a result of this study, it is recommended to use polynomial modeling in the sperm velocity calculations of CASA systems, although there is an increase in calculation time.

Anahtar Kelimeler

Kaynakça

  1. Ahn, H., Cho, H.-J., 2019. Research of multi-object detection and tracking using machine learning based on knowledge for video surveillance system. Pers. Ubiquitous Comput. https://doi.org/10.1007/s00779-019-01296-z
  2. Alquézar-Baeta, C., Gimeno-Martos, S., Miguel-Jiménez, S., Santolaria, P., Yániz, J., Palacín, I., Casao, A., Cebrián-Pérez, J.Á., Muiño-Blanco, T., Pérez-Pé, R., 2019. OpenCASA: A new open-source and scalable tool for sperm quality analysis. PLOS Comput. Biol. 15, e1006691. https://doi.org/10.1371/journal.pcbi.1006691
  3. Amann, R.P., Waberski, D., 2014. Computer-assisted sperm analysis (CASA): Capabilities and potential developments. Theriogenology 81, 5-17.e3. https://doi.org/10.1016/j.theriogenology.2013.09.004
  4. Boe-Hansen, G.B., Satake, N., 2019. An update on boar semen assessments by flow cytometry and CASA. Theriogenology. https://doi.org/10.1016/j.theriogenology.2019.05.043
  5. Bompart, D., García-Molina, A., Valverde, A., Caldeira, C., Yániz, J., Núñez de Murga, M., Soler, C., 2018. CASA-Mot technology: how results are affected by the frame rate and counting chamber. Reprod. Fertil. Dev. 30, 810. https://doi.org/10.1071/RD17551
  6. Bouwmans, T., 2014. Traditional and recent approaches in background modeling for foreground detection: An overview. Comput. Sci. Rev. https://doi.org/10.1016/j.cosrev.2014.04.001
  7. Castellini, C., Dal Bosco, A., Ruggeri, S., Collodel, G., 2011. What is the best frame rate for evaluation of sperm motility in different species by computer-assisted sperm analysis? Fertil. Steril. 96, 24–27. https://doi.org/10.1016/J.FERTNSTERT.2011.04.096
  8. Cocorullo, G., Corsonello, P., Frustaci, F., Guachi-Guachi, L. de los A., Perri, S., 2016. Multimodal background subtraction for high-performance embedded systems. J. Real-Time Image Process. 1–17. https://doi.org/10.1007/s11554-016-0651-6

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yazılım Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

1 Aralık 2021

Gönderilme Tarihi

22 Eylül 2021

Kabul Tarihi

9 Ekim 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 6 Sayı: 3

Kaynak Göster

APA
Okumuş, F., Kocamaz, F., & Özgür, M. E. (2021). Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis. Computer Science, 6(3), 152-165. https://doi.org/10.53070/bbd.999296
AMA
1.Okumuş F, Kocamaz F, Özgür ME. Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis. JCS. 2021;6(3):152-165. doi:10.53070/bbd.999296
Chicago
Okumuş, Fatih, Fatih Kocamaz, ve Mustafa Erkan Özgür. 2021. “Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis”. Computer Science 6 (3): 152-65. https://doi.org/10.53070/bbd.999296.
EndNote
Okumuş F, Kocamaz F, Özgür ME (01 Aralık 2021) Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis. Computer Science 6 3 152–165.
IEEE
[1]F. Okumuş, F. Kocamaz, ve M. E. Özgür, “Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis”, JCS, c. 6, sy 3, ss. 152–165, Ara. 2021, doi: 10.53070/bbd.999296.
ISNAD
Okumuş, Fatih - Kocamaz, Fatih - Özgür, Mustafa Erkan. “Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis”. Computer Science 6/3 (01 Aralık 2021): 152-165. https://doi.org/10.53070/bbd.999296.
JAMA
1.Okumuş F, Kocamaz F, Özgür ME. Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis. JCS. 2021;6:152–165.
MLA
Okumuş, Fatih, vd. “Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis”. Computer Science, c. 6, sy 3, Aralık 2021, ss. 152-65, doi:10.53070/bbd.999296.
Vancouver
1.Fatih Okumuş, Fatih Kocamaz, Mustafa Erkan Özgür. Using polynomial modeling for calculation of quality parameters in computer assisted sperm analysis. JCS. 01 Aralık 2021;6(3):152-65. doi:10.53070/bbd.999296

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