Abstract

Droplet microfluidics has been widely used to analyze chemicals and biological reactions at the single-molecule level. Microscopic systems are commonly used for imaging and analyzing droplets using high-magnification objective lenses. However, these systems are expensive, complex, and large, limiting the high-throughput characterization of droplets in reactions targeting disease-related biomarkers, including nucleic acids, proteins, and pathogens. Another concern is the time gap between droplet analysis within a microfluidic channel and imaging chamber, which can cause discrepancies in reaction time between droplets. To address this issue, we introduce the droplet analysis system for vast imaging and statistical tool (DropVIST)—a wide-field imaging system integrated with droplet microfluidics for rapid and accurate droplet analysis. DropVIST can detect eight differently colored droplets simultaneously using a wide-field imaging system and dFinder software, which can quantify the reacted droplets. The smallest droplet diameter for detection was 30 μm, and the maximum detection area was 201.84 cm2, suggesting that the system can theoretically analyze 3103,377 droplets in real-time. We validated the monitoring performance of DropVIST using clinical isolates of five types of living pathogenic bacteria and compared this with conventional approaches, including the microbroth dilution method and colony-forming unit assay. This platform provides a rapid, simple, and accurate tool for monitoring living bacteria at the single-cell level.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.