New Features of Cervical Precancerous Cell Based on FE-SEM/EDX Line Scanning for Classification Systems

Authors

  • Yessi Jusman Department of Informatics Engineering, Faculty of Engineering, Universitas Abdurrab, Pekanbaru, 28291 Riau, Indonesia
  • Widdya Rahmalina Department of Informatics Engineering, Faculty of Engineering, Universitas Abdurrab, Pekanbaru, 28291 Riau, Indonesia
  • Sri Kartini Department of Pharmaceutical and Food Analysts, Faculty of Medicine and Health Science, Universitas Abdurrab, Pekanbaru, 28291 Riau, Indonesia
  • May Valzon Department of Anatomy, Faculty of Medicine and Health Science,Universitas Abdurrab, Pekanbaru, 28291 Riau, Indonesia
  • Siti Nurul Aqmariah Mohd Kanafiah School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia

Keywords:

Cervical Precancerous Cell, Classification, Data Acquisition, EDX Line Scanning, Features, FESEM,

Abstract

The applicability and reliability of field emission scanning electron microscopy and energy dispersive X-ray (FESEM/EDX) to scan structure of materials at the micro-and/or the nanoscale level, characterize the material with its elemental properties have opened this research to obtain new features from EDX spectral of cervical cells to distinguish normal and abnormal cells to be fed into classification tool. For cervical cell classification, this study proposes new features of cervical cell based on FE-SEM/EDX spectrum that are suitable and can be differentiated the cervical cell to be normal and abnormal. The cervical cell samples were extracted from SurePath®. From the SurePath®, the cervical cell samples for FE-SEM were prepared using HMDS method to obtain capable FE-SEM/EDX data. The applicability of FE-SEM/EDX data based on line scanning technique was tested by using discriminant analysis (DA) as classification tools. The result showed that the proposed features from FE-SEM/EDX techniques were applicable for cervical spectra classification in the cervical precancerous diagnostic system.

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Published

2018-03-19

How to Cite

Jusman, Y., Rahmalina, W., Kartini, S., Valzon, M., & Mohd Kanafiah, S. N. A. (2018). New Features of Cervical Precancerous Cell Based on FE-SEM/EDX Line Scanning for Classification Systems. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-17), 37–42. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4161