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New tools are needed to enable rapid detection, identification, and reporting of infectious viral and microbial pathogens in a wide variety of point-of-care applications that impact human and animal health. We report the design, construction, and characterization of a platform for multiplexed analysis of disease-specific DNA sequences that utilizes a smartphone camera as the sensor in conjunction...
To quantify live-cell adhesion, a photonic crystal biosensor surface with an extracellular matrix coating is monitored within a PCEM instrument to dynamically image changes in attached cell mass density during live stem cell attachment, spreading, and drug response.
Identification of counterfeit and substandard drugs, which pose severe risks to patient safety is increasingly important, as inauthentic drugs become more commonplace in developing parts of the world. Though thin layer chromatography (TLC) performed with laboratory-based instruments enables accurate analysis of suspect medicines, there is tremendous interest in development of an inexpensive mobile...
We demonstrate label-free imaging of cell attachment upon a photonic-crystal biosensor surface. Newly-implemented PCEM image-analysis software is used to dynamically visualize individual live-cell movement and demonstrate the spatiotemporal-distribution of cellular material during adhesion and motion.
We demonstrate a novel microscopy-based biosensing approach that utilizes a photonic crystal (PC) surface to detect protein-protein binding with the functionalized nanoparticles as tags. This imaging approach utilizes the measurement of localized shifts in the resonant wavelength and resonant reflection magnitude from the PC biosensor in the presence of individual nanoparticles. Moreover, it substantially...
We demonstrate a label-free biosensor imaging approach that utilizes a photonic-crystal surface to detect attachment of individual nanoparticles down to ∼65×30×30nm3. Matching nanoparticle plasmon resonant-frequency to the photonic-crystal resonance substantially increases sensitivity of the approach.
A smartphone augmented with an optical cradle is demonstrated as a handheld detection instrument for measuring modulation of the resonant wavelength of a photonic crystal biosensor with .009 nm accuracy for point-of-use biomolecular assay applications.
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