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.
Highlights
rapid diagnostic tests (RDT) are easy to use and fast methods to detect HIV, H. pylori, adeno virus, rota virus, malaria in a microbiology laboratories as non-invasive
We developed a laptop or tablet based RDT reader in our previous work [21]
100 lateral flow strip (LFS)-RDT are tested to diagnose H. pylori and it is observed that all results under every condition are correct
Summary
RDTs are easy to use and fast methods to detect HIV, H. pylori, adeno virus, rota virus, malaria in a microbiology laboratories as non-invasive. Besides the improving of fast and practical medical test technologies, computer or smartphone based automatic diagnostic systems have been progressing expeditiously These systems help physicians for evaluating the tests with accurate and certain results by saving time. The mentioned cell phone based RDT readers have such electronic component for illumination This condition is advantage for them but the components increase the cost and disinfection is not easy after the testing due to the external components. New offered computer based system can work under different illumination conditions without external electronic illumination tools. First of all, using the RDT holders that are created from 3D printer, different images are captured under indoor illumination and sun light conditions. 100 LFS-RDT are tested to diagnose H. pylori and it is observed that all results under every condition are correct.
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