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Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water

We report an all-in-one platform – ScanDrop – for the rapid and specific capture, detection, and identification of bacteria in drinking water. The ScanDrop platform integrates droplet microfluidics, a portable imaging system, and cloud-based control software and data storage. The cloud-based control...

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Autores principales: Golberg, Alexander, Linshiz, Gregory, Kravets, Ilia, Stawski, Nina, Hillson, Nathan J., Yarmush, Martin L., Marks, Robert S., Konry, Tania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903517/
https://www.ncbi.nlm.nih.gov/pubmed/24475107
http://dx.doi.org/10.1371/journal.pone.0086341
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author Golberg, Alexander
Linshiz, Gregory
Kravets, Ilia
Stawski, Nina
Hillson, Nathan J.
Yarmush, Martin L.
Marks, Robert S.
Konry, Tania
author_facet Golberg, Alexander
Linshiz, Gregory
Kravets, Ilia
Stawski, Nina
Hillson, Nathan J.
Yarmush, Martin L.
Marks, Robert S.
Konry, Tania
author_sort Golberg, Alexander
collection PubMed
description We report an all-in-one platform – ScanDrop – for the rapid and specific capture, detection, and identification of bacteria in drinking water. The ScanDrop platform integrates droplet microfluidics, a portable imaging system, and cloud-based control software and data storage. The cloud-based control software and data storage enables robotic image acquisition, remote image processing, and rapid data sharing. These features form a “cloud” network for water quality monitoring. We have demonstrated the capability of ScanDrop to perform water quality monitoring via the detection of an indicator coliform bacterium, Escherichia coli, in drinking water contaminated with feces. Magnetic beads conjugated with antibodies to E. coli antigen were used to selectively capture and isolate specific bacteria from water samples. The bead-captured bacteria were co-encapsulated in pico-liter droplets with fluorescently-labeled anti-E. coli antibodies, and imaged with an automated custom designed fluorescence microscope. The entire water quality diagnostic process required 8 hours from sample collection to online-accessible results compared with 2–4 days for other currently available standard detection methods.
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spelling pubmed-39035172014-01-28 Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water Golberg, Alexander Linshiz, Gregory Kravets, Ilia Stawski, Nina Hillson, Nathan J. Yarmush, Martin L. Marks, Robert S. Konry, Tania PLoS One Research Article We report an all-in-one platform – ScanDrop – for the rapid and specific capture, detection, and identification of bacteria in drinking water. The ScanDrop platform integrates droplet microfluidics, a portable imaging system, and cloud-based control software and data storage. The cloud-based control software and data storage enables robotic image acquisition, remote image processing, and rapid data sharing. These features form a “cloud” network for water quality monitoring. We have demonstrated the capability of ScanDrop to perform water quality monitoring via the detection of an indicator coliform bacterium, Escherichia coli, in drinking water contaminated with feces. Magnetic beads conjugated with antibodies to E. coli antigen were used to selectively capture and isolate specific bacteria from water samples. The bead-captured bacteria were co-encapsulated in pico-liter droplets with fluorescently-labeled anti-E. coli antibodies, and imaged with an automated custom designed fluorescence microscope. The entire water quality diagnostic process required 8 hours from sample collection to online-accessible results compared with 2–4 days for other currently available standard detection methods. Public Library of Science 2014-01-27 /pmc/articles/PMC3903517/ /pubmed/24475107 http://dx.doi.org/10.1371/journal.pone.0086341 Text en © 2014 Golberg et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Golberg, Alexander
Linshiz, Gregory
Kravets, Ilia
Stawski, Nina
Hillson, Nathan J.
Yarmush, Martin L.
Marks, Robert S.
Konry, Tania
Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water
title Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water
title_full Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water
title_fullStr Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water
title_full_unstemmed Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water
title_short Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water
title_sort cloud-enabled microscopy and droplet microfluidic platform for specific detection of escherichia coli in water
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903517/
https://www.ncbi.nlm.nih.gov/pubmed/24475107
http://dx.doi.org/10.1371/journal.pone.0086341
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