Title :
An Interferometric Reflectance Imaging Sensor for Point of Care Viral Diagnostics
Author :
Reddington, Alexander P. ; Trueb, Jacob T. ; Freedman, David S. ; Tuysuzoglu, A. ; Daaboul, George G. ; Lopez, C.A. ; Karl, W.C. ; Connor, John H. ; Fawcett, Helen ; Unlu, M.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., Boston, MA, USA
Abstract :
The use of in vitro diagnostic devices is transitioning from the laboratory to the primary care setting to address early disease detection needs. Time critical viral diagnoses are often made without support due to the experimental time required in today´s standard tests. Available rapid point of care (POC) viral tests are less reliable, requiring a follow-on confirmatory test before conclusions can be drawn. The development of a reliable POC viral test for the primary care setting would decrease the time for diagnosis leading to a lower chance of transmission and improve recovery. The single particle interferometric reflectance imaging sensor (SP-IRIS) has been shown to be a sensitive and specific-detection platform in serum and whole blood. This paper presents a step towards a POC viral assay through a SP-IRIS prototype with automated data acquisition and analysis and a simple, easy-to-use software interface. Decreasing operation complexity highlights the potential of SP-IRIS as a sensitive and specific POC diagnostic tool. With the integration of a microfluidic cartridge, this automated instrument will allow an untrained user to run a sample-to-answer viral assay in the POC setting.
Keywords :
bioMEMS; biomedical equipment; biosensors; blood; data acquisition; diseases; image sensors; light interferometry; microfluidics; patient care; patient diagnosis; reflectivity; POC diagnostic tool; SP-IRIS prototype; automated data acquisition; biosensor; early disease detection; easy-to-use software interface; microfluidic cartridge; point-of-care viral diagnostics; single particle interferometric reflectance imaging sensor; viral assay; Instruments; Lighting; Nanoparticles; Optical imaging; Optical sensors; Sensitivity; Automation; biosensors; label-free; nanoparticle detection; point-of-care; virus detection; Biosensing Techniques; Equipment Design; Humans; Interferometry; Nanoparticles; Point-of-Care Systems; Software; Virus Diseases; Viruses;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2013.2272666