title: A Novel Automatic Rapid Diagnostic Test Reader Platform.
abstract: A novel automatic Rapid Diagnostic Test (RDT) reader platform is designed to analyze and diagnose target disease by using existing consumer cameras of a laptop-computer or a tablet. The RDT reader is useable with numerous lateral immunochromatographic assays and similar biomedical tests. The system has two different components, which are 3D-printed, low-cost, tiny, and compact stand and a decision program named RDT-AutoReader 2.0. The program takes the image of RDT, crops the region of interest (ROI), and extracts the features from the control end test lines to classify the results as invalid, positive, or negative. All related patient's personal information, image of ROI, and the e-report are digitally saved and transferred to the related clinician. Condition of the patient and the progress of the disease can be monitored by using the saved data. The reader platform has been tested by taking image from used cassette RDTs of rotavirus (RtV)/adenovirus (AdV) and lateral flow strip RDTs of Helicobacter pylori (H. pylori) before discarding them. The created RDT reader can also supply real-time statistics of various illnesses by using databases and Internet. This can help to inhibit propagation of contagious diseases and to increase readiness against epidemic diseases worldwide.
authors.affiliation: Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA; Biomedical Engineering Department, Fatih Sultan Mehmet Vakıf University, 34445 Istanbul, Turkey.
authors.forename: Haydar
authors.initials: H
authors.lastname: Ozkan
authors.affiliation: Biomedical Engineering Department, Fatih Sultan Mehmet Vakıf University, 34445 Istanbul, Turkey; Biomedical Engineering Department, Istanbul Technical University, 34467 Istanbul, Turkey.
authors.forename: Osman Semih
authors.initials: OS
authors.lastname: Kayhan
mesh_terms: D000328:Adult; D001331:Automation; D001424:Bacterial Infections / Q000175:diagnosis*; D002846:Chromatography, Affinity / Q000379:methods; D003201:Computers; D034201:Computers, Handheld; D016208:Databases, Factual; D003657:Decision Making; D003955:Diagnostic Tests, Routine / Q000379:methods*; D005260:Female; D016480:Helicobacter pylori; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020407:Internet; D008297:Male; D015233:Models, Statistical; D066330:Printing, Three-Dimensional; D015203:Reproducibility of Results; D012401:Rotavirus