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Concentration-Encoded Molecular Communication in Nanonetworks. Part 1: Fundamentals, Issues, and Challenges Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Computational Biosensors: Molecules, Algorithms, and Detection Platforms

Authors : Elebeoba E. May, Jason C. Harper, Susan M. Brozik

Published in: Modeling, Methodologies and Tools for Molecular and Nano-scale Communications

Publisher: Springer International Publishing

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Abstract

Advanced nucleic acid-based sensor-applications require computationally intelligent biosensors that are able to concurrently perform complex detection and classification of samples within an in vitro platform. Realization of these cutting-edge computational biosensor systems necessitates innovation and integration of three key technologies: molecular probes with computational capabilities, algorithmic methods to enable in vitro computational post processing and classification, and immobilization and detection approaches that enable the realization of deployable computational biosensor platforms. We provide an overview of current technologies, including our contributions towards the development of computational biosensor systems.

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Metadata
Title
Computational Biosensors: Molecules, Algorithms, and Detection Platforms
Authors
Elebeoba E. May
Jason C. Harper
Susan M. Brozik
Copyright Year
2017
Book
Modeling, Methodologies and Tools for Molecular and Nano-scale Communications

Print ISBN: 978-3-319-50686-9

Electronic ISBN: 978-3-319-50688-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-50688-3_23