Detection and Amplification of Molecular Signals Using Cooperating Nano-devices

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We analyze the performance of a network of very simple nano-devices that cooperate to detect and/or amplify the presence of target molecules. The nano-devices only have the capability to detect a single type of molecules and in response release molecules. Furthermore, each device has a binary operation, and releases all of its stored molecules in response to a single detection. Nevertheless, the network establishes a complex behavior through cooperation between the devices (without additional device complexity). Analysis reveals that depending on the network parameters, the network can implement a mass amplifier (that releases an amount of molecules that is proportional to the input mass) or a binary detector (that generates a macro level response to the presence of a small mass of target molecules). We characterize the network behavior and derive exact expressions for the variance of the response and the miss-detection probability.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1259-1263
Number of pages5
ISBN (Electronic)9781479981311
DOIs
StatePublished - May 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: 12 May 201917 May 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/TerritoryUnited Kingdom
CityBrighton
Period12/05/1917/05/19

Keywords

  • Bionanotechnology
  • Nanoscale devices
  • Network analysis
  • Poisson point process
  • nanorobots

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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