2020
DOI: 10.1039/c9lc01105f
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Intelligent optofluidic analysis for ultrafast single bacterium profiling of cellulose production and morphology

Abstract: A continuous-flow intelligent optofluidic device using a convolutional neural network (CNN) computational method was developed to enable high-throughput single-bacterium profiling of bacteria cellulose (BC) with a throughput of ∼35 bacteria per second.

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Cited by 7 publications
(3 citation statements)
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“…Quantum efficiency (QE) is an essential performance metric of optical sensors, as it expresses the ratio of incident photons to generated electrons [86,87]. CCDs are popular choices for droplet microfluidic devices due to their high light sensitivity, as indicated in [76,[88][89][90]. Although CCD sensors are widely used in DMFC, they are not ideal for high-throughput applications.…”
Section: Detection Setupsmentioning
confidence: 99%
“…Quantum efficiency (QE) is an essential performance metric of optical sensors, as it expresses the ratio of incident photons to generated electrons [86,87]. CCDs are popular choices for droplet microfluidic devices due to their high light sensitivity, as indicated in [76,[88][89][90]. Although CCD sensors are widely used in DMFC, they are not ideal for high-throughput applications.…”
Section: Detection Setupsmentioning
confidence: 99%
“…12,13 Droplet-based hydrogel technology is designed to encapsulate the cells to determine their proliferation using flow cytometry. 14 The flow cytometry-based approach has been extended to integrate drop-screen technology for biomedical applications. 15−17 For the above advantages, most flow cytometry-based approaches are dependent on fluorescence readouts, and the fluorescence labeling process affects cell viability after screening.…”
mentioning
confidence: 99%
“…At present, two broad categories of methods are available for single stem cell analysis: flow cytometry and microwell-based platforms. As a promising tool for single-cell screening with a throughput of ∼10 4 cells/min, flow cytometry is widely used to measure cell size, surface biomarkers and intracellular signal molecules. , Cellular antibody secretion is measured through the fluorescence labeling of cell-encapsulated hydrogel particles. , Droplet-based hydrogel technology is designed to encapsulate the cells to determine their proliferation using flow cytometry . The flow cytometry-based approach has been extended to integrate drop-screen technology for biomedical applications. For the above advantages, most flow cytometry-based approaches are dependent on fluorescence readouts, and the fluorescence labeling process affects cell viability after screening. The microwell-based platform has been developed to measure single-cell secretions and was designed specifically for function-driven single-cell screening. However, the screening throughput of microwell-based approaches is limited by the number of microwells in one microtiter plate (∼100–1000 per experimental run) .…”
mentioning
confidence: 99%