Cellco: Portable Device for Automated Blood Cell Count and Abnormal Cell Detection

Authors

  • Z. H. Chan Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.
  • E. L. M. Su Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.
  • Y. M. Lim Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.
  • E. E. Langeh Randin Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.
  • C. F. Yeong Center of Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.
  • M. A. Abdul Razak Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.
  • I. Ariffin Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia.

Keywords:

Abnormal Cell Detection, Blood Cell Count, Image Processing, Microscope,

Abstract

In medical diagnosis, cell counting and cell analysis are very important to determine our health condition. The aim of this project is to automate the counting of red blood cell, white blood cell and platelets, and detect cell anomalies such as malaria using an affordable and portable device. A device called Cellco was developed based on image analysis technique due to its simplicity and portability. With the Cellco mobile application and the hardware setup, Cellco will first capture the blood sample image under microscope or microscopic camera. With image processing algorithm, Cellco performs the counting process automatically and returns the result within several seconds to the user’s phone. Cellco is fast, portable and affordable, especially for hematologists and mobile doctors.

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Published

2017-12-04

How to Cite

Chan, Z. H., Su, E. L. M., Lim, Y. M., Langeh Randin, E. E., Yeong, C. F., Abdul Razak, M. A., & Ariffin, I. (2017). Cellco: Portable Device for Automated Blood Cell Count and Abnormal Cell Detection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-9), 119–122. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3135

Issue

Vol. 9 No. 3-9: Biomedical Electronics and Informatics

Section

Articles

License

Copyright (c) 2024 Journal of Telecommunication, Electronic and Computer Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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