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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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. |
format | Online Article Text |
id | pubmed-3903517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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