Journal
LIGHT-SCIENCE & APPLICATIONS
Volume 3, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/lsa.2014.3
Keywords
computational imaging; high-throughput biodetection; lens-free imaging; on-chip sensing; plasmonics; point of care diagnostics; telemedicine
Categories
Funding
- Presidential Early Career Award for Scientist and Engineers (PECASE) [ECCS-0954790]
- Office of Naval Research Young Investigator Award [11PR00755-00-P00001]
- PECASE
- Army Research Office (ARO) Life Sciences Division
- ARO Young Investigator Award
- NSF CAREER Award
- ONR Young Investigator Award
- National Institute of Health (NIH) Director's New Innovator Award from the Office of The Director [DP2OD006427]
- NIH
- NSF EFRI Award
- NSF Engineering Research Center on Smart Lighting [EEC-0812056]
- Massachusetts Life Sciences Center Young Investigator award
- Ecole Polytechnique Federale de Lausanne
- Directorate For Engineering [0954482] Funding Source: National Science Foundation
- Div Of Chem, Bioeng, Env, & Transp Sys [0954482] Funding Source: National Science Foundation
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We demonstrate a handheld on-chip biosensing technology that employs plasmonic microarrays coupled with a lens-free computational imaging system towards multiplexed and high-throughput screening of biomolecular interactions for point-of-care applications and resource-limited settings. This lightweight and field-portable biosensing device, weighing 60 g and 7.5 cm tall, utilizes a compact optoelectronic sensor array to record the diffraction patterns of plasmonic nanostructures under uniform illumination by a single-light emitting diode tuned to the plasmonic mode of the nanoapertures. Employing a sensitive plasmonic array design that is combined with lens-free computational imaging, we demonstrate label-free and quantitative detection of biomolecules with a protein layer thickness down to 3 nm. Integrating large-scale plasmonic microarrays, our on-chip imaging platform enables simultaneous detection of protein mono-and bilayers on the same platform over a wide range of biomolecule concentrations. In this handheld device, we also employ an iterative phase retrieval-based image reconstruction method, which offers the ability to digitally image a highly multiplexed array of sensors on the same plasmonic chip, making this approach especially suitable for high-throughput diagnostic applications in field settings.
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