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CSSTag: optical nanoscale radar and particle tracking for in-body and microfluidic systems with vibrating graphene and resonance energy transfer

Title	CSSTag: optical nanoscale radar and particle tracking for in-body and microfluidic systems with vibrating graphene and resonance energy transfer
Author	Gülbahar, Burhan, Memisoglu, G.
Publication Date:	2017-12
Publication Place	- IEEE
Subject	Acousto-optic modulator, Graphene resonator, Multiple particle tracking, Nanoscale tagging radar, Vibrating Förster resonance energy transfer, Microfluidic system
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	1536-1241
Record ID	05d2527d-b499-40b3-9ab8-ab93c9d4a311
Library Location	Electrical & Electronics Engineering
Date	2017-12
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	Biological particle tracking systems monitor cellular processes or particle behaviors with the great accuracy. The emissions of fluorescent molecules or direct images of particles are captured with cameras or photodetectors. The current imaging systems have challenges in detection, collection, and analysis of imaging data, penetration depth, and complicated set-ups. In this paper, a signaling-based nanoscale acousto-optic radar and microfluidic multiple particle tracking (MPT) system is proposed based on the theoretical design providing nanoscale optical modulator with vibrating Förster resonance energy transfer and vibrating cadmium selenide/zinc sulfide quantum dots (QDs) on graphene resonators. The modulator combines significant advantages of graphene membranes having wideband resonance frequencies with QDs having broad absorption spectrum and tunable properties. The solution denoted by chirp spread spectrum (CSS) Tag utilizes classical radar target tracking approaches in nanoscale environments based on the capabilityto generate CSS sequences identifying different bio-particles. Monte Carlo simulations show significant performance for MPT with a modulator of 10 μm × 10 μm × 10 μm dimension and several picograms of weight, the signal-to-noise ratio in the range from -7 to 10 dB, simple light emitting diode sources with power less than 4 W/cm2 and high speed tracking for microfluidic environments.
DOI	10.1109/TNB.2017.2785226
Cilt	18

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CSSTag: optical nanoscale radar and particle tracking for in-body and microfluidic systems with vibrating graphene and resonance energy transfer

Author Gülbahar, Burhan, Memisoglu, G.

Publication Date 2017-12

Publication Place - IEEE

Subject Acousto-optic modulator, Graphene resonator, Multiple particle tracking, Nanoscale tagging radar, Vibrating Förster resonance energy transfer, Microfluidic system

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 1536-1241

Record ID 05d2527d-b499-40b3-9ab8-ab93c9d4a311

Library Location Electrical & Electronics Engineering

Date 2017-12

Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Sample Text Biological particle tracking systems monitor cellular processes or particle behaviors with the great accuracy. The emissions of fluorescent molecules or direct images of particles are captured with cameras or photodetectors. The current imaging systems have challenges in detection, collection, and analysis of imaging data, penetration depth, and complicated set-ups. In this paper, a signaling-based nanoscale acousto-optic radar and microfluidic multiple particle tracking (MPT) system is proposed based on the theoretical design providing nanoscale optical modulator with vibrating Förster resonance energy transfer and vibrating cadmium selenide/zinc sulfide quantum dots (QDs) on graphene resonators. The modulator combines significant advantages of graphene membranes having wideband resonance frequencies with QDs having broad absorption spectrum and tunable properties. The solution denoted by chirp spread spectrum (CSS) Tag utilizes classical radar target tracking approaches in nanoscale environments based on the capabilityto generate CSS sequences identifying different bio-particles. Monte Carlo simulations show significant performance for MPT with a modulator of 10 μm × 10 μm × 10 μm dimension and several picograms of weight, the signal-to-noise ratio in the range from -7 to 10 dB, simple light emitting diode sources with power less than 4 W/cm2 and high speed tracking for microfluidic environments.

DOI 10.1109/TNB.2017.2785226

Cilt 18