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Proceedings Paper

An optofluidic channel model for in vivo nanosensor networks in human blood
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Paper Abstract

In vivo Wireless Nanosensor Networks (iWNSNs) consist of nano-sized communicating devices with unprece- dented sensing and actuation capabilities, which are able to operate inside the human body. iWNSNs are a disruptive technology that enables the monitoring and control of biological processes at the cellular and sub- cellular levels. Compared to ex vivo measurements, which are conducted on samples extracted from the human body, iWNSNs can track (sub) cellular processes when and where they occur. Major progress in the field of na- noelectronics, nanophotonics and wireless communication is enabling the interconnection of nanosensors. Among others, plasmonic nanolasers with sub-micrometric footprint, plasmonic nano-antennas able to confine light in nanometric structures, and single-photon detectors with unrivaled sensitivity, enable the communication among implanted nanosensors in the near infrared and optical transmission windows. Motivated by these results, in this paper, an optofluidic channel model is developed to investigate the communication properties and temporal dynamics between a pair of in vivo nanosensors in the human blood. The developed model builds upon the authors’ recent work on light propagation modeling through multi-layered single cells and cell assemblies and takes into account the geometric, electromagnetic and microfluidic properties of red blood cells in the human circulatory system. The proposed model guides the development of practical communication strategies among nanosensors, and paves the way through new nano-biosensing strategies able to identify diseases by detecting the slight changes in the channel impulse response, caused by either the change in shape of the blood cells or the presence of pathogens.

Paper Details

Date Published: 2 May 2017
PDF: 9 pages
Proc. SPIE 10206, Disruptive Technologies in Sensors and Sensor Systems, 1020607 (2 May 2017); doi: 10.1117/12.2262824
Show Author Affiliations
Pedram Johari, Univ. at Buffalo (United States)
Josep M. Jornet, Univ. at Buffalo (United States)

Published in SPIE Proceedings Vol. 10206:
Disruptive Technologies in Sensors and Sensor Systems
Russell D. Hall; Misty Blowers; Jonathan Williams, Editor(s)

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