Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope

Detalhes bibliográficos
Autor(a) principal: Vilhelm Mullër
Data de Publicação: 2018
Outros Autores: José M. Sousa, Hatice Ceylan Koydemir, Muhammed Veli, Derek Tseng, Laura Cerqueira, Aydogan Ozcan, Nuno F. Azevedo, Fredrik Westerlund
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/123467
Resumo: Diagnostics based on fluorescence imaging of biomolecules is typically performed in well-equipped laboratories and is in general not suitable for remote and resource limited settings. Here we demonstrate the development of a compact, lightweight and cost-effective smartphone-based fluorescence microscope, capable of detecting signals from fluorescently labeled bacteria. By optimizing a peptide nucleic acid (PNA) based fluorescence in situ hybridization (FISH) assay, we demonstrate the use of the smartphone-based microscope for rapid identification of pathogenic bacteria. We evaluated the use of both a general nucleic acid stain as well as species-specific PNA probes and demonstrated that the mobile platform can detect bacteria with a sensitivity comparable to that of a conventional fluorescence microscope. The PNA-based FISH assay, in combination with the smartphone-based fluorescence microscope, allowed us to qualitatively analyze pathogenic bacteria in contaminated powdered infant formula (PIF) at initial concentrations prior to cultivation as low as 10 CFU per 30 g of PIF. Importantly, the detection can be done directly on the smartphone screen, without the need for additional image analysis. The assay should be straightforward to adapt for bacterial identification also in clinical samples. The cost-effectiveness, field-portability and simplicity of this platform will create various opportunities for its use in resource limited settings and point-of-care offices, opening up a myriad of additional applications based on other fluorescence-based diagnostic assays.
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spelling Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscopeDiagnostics based on fluorescence imaging of biomolecules is typically performed in well-equipped laboratories and is in general not suitable for remote and resource limited settings. Here we demonstrate the development of a compact, lightweight and cost-effective smartphone-based fluorescence microscope, capable of detecting signals from fluorescently labeled bacteria. By optimizing a peptide nucleic acid (PNA) based fluorescence in situ hybridization (FISH) assay, we demonstrate the use of the smartphone-based microscope for rapid identification of pathogenic bacteria. We evaluated the use of both a general nucleic acid stain as well as species-specific PNA probes and demonstrated that the mobile platform can detect bacteria with a sensitivity comparable to that of a conventional fluorescence microscope. The PNA-based FISH assay, in combination with the smartphone-based fluorescence microscope, allowed us to qualitatively analyze pathogenic bacteria in contaminated powdered infant formula (PIF) at initial concentrations prior to cultivation as low as 10 CFU per 30 g of PIF. Importantly, the detection can be done directly on the smartphone screen, without the need for additional image analysis. The assay should be straightforward to adapt for bacterial identification also in clinical samples. The cost-effectiveness, field-portability and simplicity of this platform will create various opportunities for its use in resource limited settings and point-of-care offices, opening up a myriad of additional applications based on other fluorescence-based diagnostic assays.20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/123467eng2046-206910.1039/c8ra06473cVilhelm MullërJosé M. SousaHatice Ceylan KoydemirMuhammed VeliDerek TsengLaura CerqueiraAydogan OzcanNuno F. AzevedoFredrik Westerlundinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:44:01Zoai:repositorio-aberto.up.pt:10216/123467Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:46:50.671468Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
title Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
spellingShingle Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
Vilhelm Mullër
title_short Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
title_full Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
title_fullStr Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
title_full_unstemmed Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
title_sort Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
author Vilhelm Mullër
author_facet Vilhelm Mullër
José M. Sousa
Hatice Ceylan Koydemir
Muhammed Veli
Derek Tseng
Laura Cerqueira
Aydogan Ozcan
Nuno F. Azevedo
Fredrik Westerlund
author_role author
author2 José M. Sousa
Hatice Ceylan Koydemir
Muhammed Veli
Derek Tseng
Laura Cerqueira
Aydogan Ozcan
Nuno F. Azevedo
Fredrik Westerlund
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vilhelm Mullër
José M. Sousa
Hatice Ceylan Koydemir
Muhammed Veli
Derek Tseng
Laura Cerqueira
Aydogan Ozcan
Nuno F. Azevedo
Fredrik Westerlund
description Diagnostics based on fluorescence imaging of biomolecules is typically performed in well-equipped laboratories and is in general not suitable for remote and resource limited settings. Here we demonstrate the development of a compact, lightweight and cost-effective smartphone-based fluorescence microscope, capable of detecting signals from fluorescently labeled bacteria. By optimizing a peptide nucleic acid (PNA) based fluorescence in situ hybridization (FISH) assay, we demonstrate the use of the smartphone-based microscope for rapid identification of pathogenic bacteria. We evaluated the use of both a general nucleic acid stain as well as species-specific PNA probes and demonstrated that the mobile platform can detect bacteria with a sensitivity comparable to that of a conventional fluorescence microscope. The PNA-based FISH assay, in combination with the smartphone-based fluorescence microscope, allowed us to qualitatively analyze pathogenic bacteria in contaminated powdered infant formula (PIF) at initial concentrations prior to cultivation as low as 10 CFU per 30 g of PIF. Importantly, the detection can be done directly on the smartphone screen, without the need for additional image analysis. The assay should be straightforward to adapt for bacterial identification also in clinical samples. The cost-effectiveness, field-portability and simplicity of this platform will create various opportunities for its use in resource limited settings and point-of-care offices, opening up a myriad of additional applications based on other fluorescence-based diagnostic assays.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/123467
url https://hdl.handle.net/10216/123467
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2046-2069
10.1039/c8ra06473c
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