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Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures

In this paper, we present our optimization tool for fluorophore-conjugated metal nanostructures for the purpose of designing novel contrast agents for multimodal bioimaging. Contrast agents are of great importance to biological imaging. They usually include nanoelements causing a reduction in the ne...

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Detalles Bibliográficos
Autores principales: Fixler, Dror, Tzur, Chen, Zalevsky, Zeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600714/
https://www.ncbi.nlm.nih.gov/pubmed/31151325
http://dx.doi.org/10.3390/ma12111766
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author Fixler, Dror
Tzur, Chen
Zalevsky, Zeev
author_facet Fixler, Dror
Tzur, Chen
Zalevsky, Zeev
author_sort Fixler, Dror
collection PubMed
description In this paper, we present our optimization tool for fluorophore-conjugated metal nanostructures for the purpose of designing novel contrast agents for multimodal bioimaging. Contrast agents are of great importance to biological imaging. They usually include nanoelements causing a reduction in the need for harmful materials and improvement in the quality of the captured images. Thus, smart design tools that are based on evolutionary algorithms and machine learning definitely provide a technological leap in the fluorescence bioimaging world. This article proposes the usage of properly designed metallic structures that change their fluorescence properties when the dye molecules and the plasmonic nanoparticles interact. The nanostructures design and evaluation processes are based upon genetic algorithms, and they result in an optimal separation distance, orientation angles, and aspect ratio of the metal nanostructure.
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spelling pubmed-66007142019-07-16 Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures Fixler, Dror Tzur, Chen Zalevsky, Zeev Materials (Basel) Article In this paper, we present our optimization tool for fluorophore-conjugated metal nanostructures for the purpose of designing novel contrast agents for multimodal bioimaging. Contrast agents are of great importance to biological imaging. They usually include nanoelements causing a reduction in the need for harmful materials and improvement in the quality of the captured images. Thus, smart design tools that are based on evolutionary algorithms and machine learning definitely provide a technological leap in the fluorescence bioimaging world. This article proposes the usage of properly designed metallic structures that change their fluorescence properties when the dye molecules and the plasmonic nanoparticles interact. The nanostructures design and evaluation processes are based upon genetic algorithms, and they result in an optimal separation distance, orientation angles, and aspect ratio of the metal nanostructure. MDPI 2019-05-31 /pmc/articles/PMC6600714/ /pubmed/31151325 http://dx.doi.org/10.3390/ma12111766 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fixler, Dror
Tzur, Chen
Zalevsky, Zeev
Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures
title Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures
title_full Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures
title_fullStr Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures
title_full_unstemmed Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures
title_short Genetic Algorithm-Based Design for Metal-Enhanced Fluorescent Nanostructures
title_sort genetic algorithm-based design for metal-enhanced fluorescent nanostructures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600714/
https://www.ncbi.nlm.nih.gov/pubmed/31151325
http://dx.doi.org/10.3390/ma12111766
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AT zalevskyzeev geneticalgorithmbaseddesignformetalenhancedfluorescentnanostructures