Enumeration of Ampicillin-Resistant $E.\ Coli$ in Blood Using Droplet Microfluidics and High-Speed Image Processing
| Autor: | Ellena M. Peterson, Weian Zhao, Yiyan Li, Jacob Harrison, Hemanth Cherukury, Jan Zimak |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
biology
Chemistry 010401 analytical chemistry Microfluidics Image processing 02 engineering and technology 021001 nanoscience & nanotechnology biology.organism_classification 01 natural sciences 0104 chemical sciences Bloodstream infection Ampicillin Fluorescent bacteria medicine Enumeration Droplet microfluidics 0210 nano-technology Bacteria medicine.drug Biomedical engineering |
| Zdroj: | ISBI |
| DOI: | 10.1109/isbi45749.2020.9098433 |
| Popis: | Bacteria entering the bloodstream causes bloodstream infection (BSI). Without proper treatment, BSI can lead to sepsis which is a life-threatening condition. Detection of bacteria in blood at the early stages of BSI can effectively prevent the development of sepsis. Using microfluidic droplets for single bacterium encapsulation provides single-digit bacterial detection sensitivity. In this study, samples of ampicillin-resistant E. coli in human blood were partitioned into millions of $30\ \mu \mathrm{m}$ diameter microfluidic droplets and followed by 8-hour culturing. Thousands of fluorescent bacteria from a single colony filled up the positive droplets after the culturing process. A circle detection software based on Hough Transform was developed to count the number of positive droplets from fluorescence images. The period to process one image can be as short as 0.5 ms when the original image is pre-processed and binarized by the developed software. |
| Databáze: | OpenAIRE |
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