Rapid Daignostic Lateral Flow Strip Test Reader

Year 2017, Volume: 5 Issue: 2, 34 - 39, 01.09.2017

Haydar Özkan

https://doi.org/10.17694/bajece.334337

Cited By: 1

Abstract

Non-invasive rapid
diagnostic tests (RDT) are commonly used to detect some kind of viruses or
bacteria instead of invasive methods. Helicobacter
pylori (H. Pylori) which causes gastric
cancer, peptic ulcer, gastritis, mucosa-associated lymphoid tissue lymphoma
diseases can be detected easily with lateral flow strip (LFS) that is one of
the RDT types. The tests are evaluated whether there are control line and test
line at the region of interest (ROI) by users or microbiology technicians
manually. Once the test line is tentative, despite the test must be reported
positive, it can be resulted as negative incorrectly. This incorrect diagnose
causes incorrect treatment planning. In this work, to mitigate this problem
which will be able to occur by human based, an automatic LFS-RDT reading system
is developed. The computer laptop based system firstly takes image utilizing
the holders that are designed with 3D printer. Whether the test have the control-test
lines or not are carried out by image processing techniques straightforwardly.
After feature extraction from line areas, k-NN classification method is used to evaluate
the test results automatically. 100 LFS-RDTs are tested and observed that all
results are correct. The system is found quite useful and approved as a second
reader by medical technicians.

Keywords

Rapid diagnostic test reader, image processing, classification, k-NN

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