title: Vision Marker-Based In Situ Examination of Bacterial Growth in Liquid Culture Media.
abstract: The detection of bacterial growth in liquid media is an essential process in determining antibiotic susceptibility or the level of bacterial presence for clinical or research purposes. We have developed a system, which enables simplified and automated detection using a camera and a striped pattern marker. The quantification of bacterial growth is possible as the bacterial growth in the culturing vessel blurs the marker image, which is placed on the back of the vessel, and the blurring results in a decrease in the high-frequency spectrum region of the marker image. The experiment results show that the FFT (fast Fourier transform)-based growth detection method is robust to the variations in the type of bacterial carrier and vessels ranging from the culture tubes to the microfluidic devices. Moreover, the automated incubator and image acquisition system are developed to be used as a comprehensivein situdetection system. We expect that this result can be applied in the automation of biological experiments, such as the Antibiotics Susceptibility Test or toxicity measurement. Furthermore, the simple framework of the proposed growth measurement method may be further utilized as an effective and convenient method for building point-of-care devices for developing countries.
authors.affiliation: Urban Robotics Laboratory, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. kkim0214@kaist.ac.kr.
authors.forename: Kyukwang
authors.initials: K
authors.lastname: Kim
authors.affiliation: Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. duckyu@kaist.ac.kr.
authors.forename: Duckyu
authors.initials: D
authors.lastname: Choi
authors.affiliation: School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. wjuni@kaist.ac.kr.
authors.forename: Hwijoon
authors.initials: H
authors.lastname: Lim
authors.affiliation: Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. hkkim1227@kaist.ac.kr.
authors.forename: Hyeongkeun
authors.initials: H
authors.lastname: Kim
authors.affiliation: Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. jsjeon@kaist.ac.kr.
authors.forename: Jessie S
authors.initials: JS
authors.lastname: Jeon
mesh_terms: D000465:Algorithms; D003470:Culture Media / Q000032:analysis*; D004129:Dimethylpolysiloxanes / Q000737:chemistry; D004926:Escherichia coli / Q000254:growth & development*; D005583:Fourier Analysis; D021621:Imaging, Three-Dimensional; D056656:Lab-On-A-Chip Devices; D010363:Pattern Recognition, Automated / Q000379:methods*; D011550:Pseudomonas aeruginosa / Q000254:growth & development*; D013997:Time Factors
chemical_list: D003470:Culture Media; D004129:Dimethylpolysiloxanes
keywords: bacterial growth; fast Fourier transformation; microfluidics; vision marker