Abstract

In cell bioscience, microscopy has always been an essential tool to study cell conduct in reply to various cultural terms and handling. Propagation and cell demise are often examine using microscopy, however, more knotty statistics like movement pattern and morphology could be analyzed. The cell tracking method poses sensible challenge to the computer vision and pattern recognition. This study conducted a comprehensive review on cell tracking and segmentation studies. This study analyses the current segmentation.
It also discusses the cell tracking algorithms. Moreover, it presents the cell tracking and segmentation CNN architectures, and provides description of design cell tracking approach. Finally, it identifies the gaps in cell tracking and segmentation for future research. This review forms a basis for future cell tracking research.

Keywords

  • Image nosie
  • Image filter
  • Image segmentation
  • Time lapse
  • Cell Events

References

  1. 1. K. E. Magnusson and J. Jalde´n, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, pp. 382–385.
  2. 2. K. Li, E. D. Miller, M. Chen, T. Kanade, L. E. Weiss and P. G. Campbell, Medical image analysis, 2008, 12, 546–566.
  3. 3. K. E. Magnusson, Ph.D. thesis, KTH Royal Institute of Technology, 2016.A. Aly, S. B. Deris and N. Zaki, International Journal of Computer Science & Information Technology, 2014, 6, 21.
  4. 4. P. Matula, M. Masˇka, D. V. Sorokin, P. Matula, C. Ortiz-de Solo´rzano and M. Kozubek, PloS one, 2015, 10, e0144959.
  5. 5. E. Meijering, O. Dzyubachyk and I. Smal, in Methods in enzymology, Elsevier, 2012, vol. 504, pp. 183–200.
  6. 6. N. Emami, Z. Sedaei and R. Ferdousi, Visual Informatics, 2021, 5, 1–13.
  7. 7. S. R. Mahakale and N. V. Thakur, image, 2007, 17, year.
  8. 8. S. Tania and R. Rowaida, International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016, 9, 113–124.
  9. 9. S. Sheikh, B. Suthar, M. Uddin et al., 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI), 2017, pp. 1–6.
  10. 10. Z. Afrose, International Journal of Computer Applications, 2012, 47, year.
  11. 11. B. Gupta and S. S. Negi, International Journal of Computer Science Issues (IJCSI), 2013,10, 149.
  12. 12. R. Szeliski, Computer vision: algorithms and applications, Springer Science & Business Media, 2010.
  13. 13. R. Hemalatha, T. Thamizhvani, A. J. A. Dhivya, J. E. Joseph, B. Babu and R. Chandrasekaran,
  14. 14. Med Biol. Image Anal, 2018, 17, year.
  15. 15. X. Chen, B. M. Williams, S. R. Vallabhaneni, G. Czanner, R. Williams and Y. Zheng, Proceedings of the IEEE conference on computer vision and pattern recognition, 2019,
  16. 16. pp. 11632–11640.
  17. 17. S. Wang, X. Ma, X. Zhang and L. Jiao, 2007 International Symposium on Intelligent Signal Processing and Communication Systems, 2007, pp. 312–315.
  18. 18. J. Rogowska, Handbook of medical imaging, processing and analysis, 2000, 69–85.
  19. 19. B. Peng, L. Zhang and D. Zhang, IEEE Transactions on image processing, 2011, 20, 3592– 3605.
  20. 20. N. Ikonomatakis, K. Plataniotis, M. Zervakis and A. Venetsanopoulos, Proceedings of 13th International Conference on Digital Signal Processing, 1997, pp. 299–302.
  21. 21. K. S. Camilus and V. Govindan, International Journal of Image, Graphics & Signal Pro- cessing, 2012, 4, year.
  22. 22. P. Singhal and A. Verma, 2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016, pp. 1–6.
  23. 23. U. Baid and S. Talbar, International Conference on Communication and Signal Processing 2016 (ICCASP 2016), 2016.
  24. 24. M. Shukla, 2017.
  25. 25. S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz and D. Terzopoulos, arXiv preprint arXiv:2001.05566, 2020.
  26. 26. C. X. Herna´ndez, M. M. Sultan and V. S. Pande, arXiv preprint arXiv:1802.10548, 2018.
  27. 27. S. Lindmark, Cell Tracking in Microscopy Images Using a Rao-Blackwellized Particle Filter, 2014.
  28. 28. D. E. Hernandez, S. W. Chen, E. E. Hunter, E. B. Steager and V. Kumar, 2018 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS), 2018,
  29. 29. pp. 1–6.
  30. 30. S. Huh, Ph.D. thesis, Carnegie Mellon University, 2013.
  31. 31. R. Bise, T. Kanade, Z. Yin and S.-i. Huh, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, pp. 6174–6179.
  32. 32. P. Keely, 2013.
  33. 33. M. Vicente-Manzanares, D. J. Webb and A. R. Horwitz, Journal of cell science, 2005, 118, 4917–4919.
  34. 34. Y. Xue and N. Ray, arXiv preprint arXiv:1708.03307, 2017. S. Chowdhury, R. Chatterjee, M. Ghosh and N. Ray, 2010 20th International Conference on Pattern Recognition, 2010, pp. 2456–2459.
  35. 35. Z. Zhou, F. Wang, W. Xi, H. Chen, P. Gao and C. He, International Conference on Image and Graphics, 2019, pp. 435–446.
  36. 36. F. Lux and P. Matula, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, pp. 236–239.
  37. 37. D. K. Gupta, N. de Bruijn, A. Panteli and E. Gavves, arXiv preprint arXiv:1910.08735, 2019.
  38. 38. S. U. Akram, J. Kannala, L. Eklund and J. Heikkila¨, arXiv preprint arXiv:1705.03386, 2017.
  39. 39. E. Meijering, O. Dzyubachyk, I. Smal and W. A. van Cappellen, Seminars in cell & devel- opmental biology, 2009, pp. 894–902.