CaltechAUTHORS
  A Caltech Library Service

Handheld high-throughput plasmonic biosensor using computational on-chip imaging

Cetin, Arif E. and Coskun, Ahmet F. and Galarreta, Betty C. and Huang, Min and Herman, David and Ozcan, Aydogan and Altug, Hatice (2014) Handheld high-throughput plasmonic biosensor using computational on-chip imaging. Light: Science & Applications, 3 . Art. No. e122. ISSN 2047-7538. https://resolver.caltech.edu/CaltechAUTHORS:20140403-091439538

[img]
Preview
PDF - Published Version
Creative Commons Attribution Non-commercial No Derivatives.

2475Kb
[img] MS Word (Supplementary Information) - Supplemental Material
Creative Commons Attribution Non-commercial No Derivatives.

5Mb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20140403-091439538

Abstract

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.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1038/lsa.2014.3DOIArticle
http://www.nature.com/lsa/journal/v3/n1/full/lsa20143a.htmlPublisherArticle
ORCID:
AuthorORCID
Coskun, Ahmet F.0000-0002-5797-1524
Additional Information:© 2014 CIOMP. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs Works 3.0 Unported license. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0 Received 8 April 2013; Revised 21 August 2013; Accepted 27 August 2013. Altug Research Group acknowledges National Science Foundation (NSF) CAREER Award, Presidential Early Career Award for Scientist and Engineers (PECASE) ECCS-0954790, Office of Naval Research Young Investigator Award 11PR00755-00-P00001, NSF Engineering Research Center on Smart Lighting EEC-0812056, Massachusetts Life Sciences Center Young Investigator award and Ecole Polytechnique Federale de Lausanne. Ozcan Research Group acknowledges the support of PECASE, Army Research Office (ARO) Life Sciences Division, ARO Young Investigator Award, NSF CAREER Award, ONR Young Investigator Award and the National Institute of Health (NIH) Director’s New Innovator Award DP2OD006427 from the Office of The Director, NIH and the NSF EFRI Award.
Funders:
Funding AgencyGrant Number
NSF CAREER AwardUNSPECIFIED
Presidential Early Career Award for Scientist and Engineers (PECASE)ECCS-0954790
Office of Naval Research Young Investigator Award11PR00755-00-P00001
NSF Engineering Research Center on Smart LightingEEC-0812056
Massachusetts Life Sciences Center Young Investigator awardUNSPECIFIED
Ecole Polytechnique Federale de LausanneUNSPECIFIED
Army Research Office (ARO) Life Sciences DivisionUNSPECIFIED
Army Research Office (ARO) Young Investigator AwardUNSPECIFIED
NIH Director’s New Innovator AwardDP2OD006427
NIHUNSPECIFIED
NSF EFRI AwardUNSPECIFIED
Subject Keywords:computational imaging; high-throughput biodetection; lens-free imaging; on-chip sensing; plasmonics; point of care diagnostics; telemedicine
Record Number:CaltechAUTHORS:20140403-091439538
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20140403-091439538
Official Citation:Cetin, A. E., Coskun, A. F., Galarreta, B. C., Huang, M., Herman, D., Ozcan, A., & Altug, H. (2014). Handheld high-throughput plasmonic biosensor using computational on-chip imaging. [Original Article]. Light Sci Appl, 3, e122. doi: 10.1038/lsa.2014.3
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:44622
Collection:CaltechAUTHORS
Deposited By: Jason Perez
Deposited On:04 Apr 2014 15:00
Last Modified:03 Oct 2019 06:20

Repository Staff Only: item control page