Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80042
Title: Cloud-enabled microscopy and droplet microfluidic platform for specific detection of Escherichia coli in water
Authors: Golberg, Alexander
Linshiz, Gregory
Kravets, Ilia
Stawski, Nina
Hillson, Nathan J.
Yarmush, Martin L.
Marks, Robert S.
Konry, Tania
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: Golberg, A., Linshiz, G., Kravets, I., Stawski, N., Hillson, N. J., Yarmush, M. L., et al. (2014). Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water. PLoS ONE, 9(1), e86341-.
Series/Report no.: PLoS ONE
Abstract: 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.
URI: https://hdl.handle.net/10356/80042
http://hdl.handle.net/10220/19607
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0086341
Rights: © 2014 Golberg et al. 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 credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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