Imaging electric field dynamics with graphene optoelectronics

Jason Horng, Halleh B. Balch, Allister F. McGuire, Hsin-Zon Tsai, Patrick R. Forrester, Michael F. Crommie, Bianxiao Cui and Feng Wang ()
Additional contact information
Jason Horng: University of California Berkeley
Halleh B. Balch: University of California Berkeley
Allister F. McGuire: Stanford University Stanford
Hsin-Zon Tsai: University of California Berkeley
Patrick R. Forrester: University of California Berkeley
Michael F. Crommie: University of California Berkeley
Bianxiao Cui: Stanford University Stanford
Feng Wang: University of California Berkeley

Nature Communications, 2016, vol. 7, issue 1, 1-7

Abstract: Abstract The use of electric fields for signalling and control in liquids is widespread, spanning bioelectric activity in cells to electrical manipulation of microstructures in lab-on-a-chip devices. However, an appropriate tool to resolve the spatio-temporal distribution of electric fields over a large dynamic range has yet to be developed. Here we present a label-free method to image local electric fields in real time and under ambient conditions. Our technique combines the unique gate-variable optical transitions of graphene with a critically coupled planar waveguide platform that enables highly sensitive detection of local electric fields with a voltage sensitivity of a few microvolts, a spatial resolution of tens of micrometres and a frequency response over tens of kilohertz. Our imaging platform enables parallel detection of electric fields over a large field of view and can be tailored to broad applications spanning lab-on-a-chip device engineering to analysis of bioelectric phenomena.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/ncomms13704 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13704

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms13704

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().