Design of an Automated Parasite Identification Device for Malaria Thick Blood Smear Microphotographs

Hartanto, Genisius and Arko, Arko and Nugroho, Anto Satriyo (2015) Design of an Automated Parasite Identification Device for Malaria Thick Blood Smear Microphotographs. Bachelor thesis, Swiss German University.

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Abstract

Malaria is an infectious disease, and has spread throughout many countries, especially in a tropical country like Indonesia. International organizations have started to focus on a cure, also a powerful diagnosis method for malaria. Many researchers have found methods to detect malaria parasite’s presence in the blood. One of those is using microscopic examination. The problem appears when malaria detection involves a large number of patients in mass blood survey, which leads to a high possibility of human error. This research is focused on the development of the malaria detection algorithm, and the development of an automatic microscope control, to assist the difficulties of manual malaria detection in mass blood survey. The malaria parasite identification system is developed using C programming language. Image processing methods are used to analyse the presence of malaria parasites, starting from histogram equalisation, thresholding, hole filling, and segmentation. The automation of microscope movement is implemented by using stepper motors and Arduino microcontroller, communicating through serial port with the user interface developed using Qt. As a result, image of objects which are suspected as the parasite can automatically be extracted from malaria thick blood smear using the developed system.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Thick Blood Smear; Malaria; Image Processing; Segmentation; Microscope Stage Automation.
Subjects: R Medicine > R Medicine (General) > R856 Biomedical engineering
R Medicine > RC Internal medicine > RC165 Tropical diseases
Divisions: Faculty of Life Sciences and Technology > Department of Biomedical Engineering
Depositing User: Atroridho Rizky
Date Deposited: 15 Dec 2020 13:47
Last Modified: 15 Dec 2020 13:47
URI: http://repository.sgu.ac.id/id/eprint/1586

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