
1.Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
2.Departments of Electrical Engineering and Bioengineering, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA
3.Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
4.Pontificia Universidad Catolica del Peru, Departamento de Ciencias-Quimica, Avenida Universitaria 1801, Lima 32, Peru
5.Bioengineering Department, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
6.California NanoSystems Institute, University of California Los Angeles, Los Angeles (UCLA), Los Angeles, CA, 90095, USA
Professor A Ozcan, Departments of Electrical Engineering and Bioengineering, UCLA, Los Angeles, CA 90095, USA Email: ozcan@ucla.edu
Professor H Altug, Bioengineering Department, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne CH-1015, Switzerland Email: hatice.altug@epfl.ch
Published:2014-03,
Published Online:03 January 2014,
Received:08 April 2013,
Revised:21 August 2013,
Accepted:27 August 2013
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Cetin, A. E. et al. Handheld high-throughput plasmonic biosensor using computational on-chip imaging. Light: Science & Applications, 3, e122 (2014).
Cetin, A. E. et al. Handheld high-throughput plasmonic biosensor using computational on-chip imaging. Light: Science & Applications, 3, e122 (2014). DOI: 10.1038/lsa.2014.3.
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.
computational imaginghigh-throughput biodetectionlens-free imagingon-chip sensingplasmonicspoint of care diagnosticstelemedicine
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