Computational Biosensors: Molecules, Algorithms, and Detection Platforms

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...

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Detalles Bibliográficos
Autores principales: May, Elebeoba E., Harper, Jason C., Brozik, Susan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123247/
http://dx.doi.org/10.1007/978-3-319-50688-3_23
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author May, Elebeoba E.
Harper, Jason C.
Brozik, Susan M.
author_facet May, Elebeoba E.
Harper, Jason C.
Brozik, Susan M.
author_sort May, Elebeoba E.
collection PubMed
description 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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spelling pubmed-71232472020-04-06 Computational Biosensors: Molecules, Algorithms, and Detection Platforms May, Elebeoba E. Harper, Jason C. Brozik, Susan M. Modeling, Methodologies and Tools for Molecular and Nano-scale Communications Article 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. 2016-11-19 /pmc/articles/PMC7123247/ http://dx.doi.org/10.1007/978-3-319-50688-3_23 Text en © Springer International Publishing AG 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
May, Elebeoba E.
Harper, Jason C.
Brozik, Susan M.
Computational Biosensors: Molecules, Algorithms, and Detection Platforms
title Computational Biosensors: Molecules, Algorithms, and Detection Platforms
title_full Computational Biosensors: Molecules, Algorithms, and Detection Platforms
title_fullStr Computational Biosensors: Molecules, Algorithms, and Detection Platforms
title_full_unstemmed Computational Biosensors: Molecules, Algorithms, and Detection Platforms
title_short Computational Biosensors: Molecules, Algorithms, and Detection Platforms
title_sort computational biosensors: molecules, algorithms, and detection platforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123247/
http://dx.doi.org/10.1007/978-3-319-50688-3_23
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AT harperjasonc computationalbiosensorsmoleculesalgorithmsanddetectionplatforms
AT broziksusanm computationalbiosensorsmoleculesalgorithmsanddetectionplatforms

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