Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/10572/2388
Title: Cellphone Camera Imaging of a Periodically Patterned Chip as a Potential Method for Point-of-Care Diagnostics
Authors: Gupta, Ritu
Reifenberger, Ronald G.
Kulkarni, G. U.
Keywords: Nanoscience & Nanotechnology
Materials Science
Cell Phone Camera
Diagnostics
Fourier Transformation
Periodically Patterned Chip
Pattern Recognition
Label-Free Detection
Soft Lithography
Real-Time
Spores
Cells
Phone
Issue Date: 2014
Publisher: American Chemical Society
Citation: Gupta, R; Reifenberger, RG; Kulkarni, GU, Cellphone Camera Imaging of a Periodically Patterned Chip as a Potential Method for Point-of-Care Diagnostics. ACS Applied Materials & Interfaces 2014, 6 (6) 3923-3929, http://dx.doi.org/10.1021/am4050426
ACS Applied Materials & Interfaces
6
6
Abstract: In this study, we demonstrate that a disposable chip periodically patterned with, suitable ligands, an ordinary cellphone camera, and a simple pattern recognition software, can potentially be used for quantitative diagnostics. A key factor in this demonstration is the design of a calibration grid around the chip that, through a contrast transfer process, enables reliable analysis of the images collected under variable ambient lighting conditions. After exposure to a dispersion of amine terminated silica beads used as analyte mimicking pathogens, an epoxy-terminated glass substrate microcontact printed with octadecyltrichlorosilane (250 mu m periodicity) developed a characteristic pattern of beads which could be easily imaged with a cellphone camera of 3.2 MP pixels. A simple pattern recognition algorithm using fast Fourier transform produced a quantitative estimate of the analyte concentration present in the test solution. In this method importantly, neither the chip fabrication process nor the fill-factor of the periodic pattern need be perfect to arrive at a conclusive diagnosis. The method suggests a viable platform that may potentially find use in fault-tolerant and robust point-of-care diagnostic applications.
Description: Restricted Access
URI: https://libjncir.jncasr.ac.in/xmlui/10572/2388
ISSN: 1944-8244
Appears in Collections:Research Articles (Kulkarni, G. U.)

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