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HardwareX  2021 

Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times

DOI: 10.1016/j.ohx.2021.e00249

Subject Areas: Genetics, Immunology, Bioengineering, Translational Medicine, Marine Biology, Industrial Engineering, Medicinal Chemistry, Global Health, Medical Genetics, Diagnostics, Genetic Engineering, Agricultural Science, Cell Biology, Soil Science, Biological Materials, Ecology, Mathematical Biology, Artificial Intelligence, Synthetic Biology, Genomics, Public Health, Mycology, Plant Science, Applied Physics, Zoology, Biological Engineering, Materials Engineering, Computational Biology, Biophysics, Taxonomy, Computer Engineering, Allergy & Clinical Immunology, Bioinformatics, Agricultural Engineering, Microbiology, Food Science & Technology, Developmental Biology, Internal Medicine, Metabolic Sciences, Biodiversity, Biological Chemistry, Infectious Diseases, Biotechnology, Molecular Biology, Environmental Sciences, Electric Engineering, Health Policy, Parasitology, Biochemistry, Chemical Engineering & Technology, Analytical Chemistry

Keywords: Antimicrobial resistance, AMR, Antibiotics, Incubation chamber, colony tracking, cell, sensor, Scanner, Phenotype, Image analysis, Bacteria imaging, long term, penicillin, ampicillin, CRISPR, gene editing

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Abstract

A hallmark of bacterial populations cultured in vitro is their homogeneity of growth, where the majority of cells display identical growth rate, cell size and content. Recent insights, however, have revealed that even cells growing in exponential growth phase can be heterogeneous with respect to variables typically used to measure cell growth. Bacterial heterogeneity has important implications for how bacteria respond to environmental stresses, such as antibiotics. The phenomenon of antimicrobial persistence, for example, has been linked to a small subpopulation of cells that have entered into a state of dormancy where antibiotics are no longer effective. While methods have been developed for identifying individual non-growing cells in bacterial cultures, there has been less attention paid to how these cells may influence growth in colonies on a solid surface. In response, we have developed a low-cost, open-source platform to perform automated image capture and image analysis of bacterial colony growth on multiple nutrient agar plates simultaneously. The descriptions of the hardware and software are included, along with details about the temperature-controlled growth chamber, high-resolution scanner, and graphical interface to extract and plot the colony lag time and growth kinetics. Experiments were conducted using a wild type strain of Escherichia coli K12 to demonstrate the feasibility and operation of our setup. By automated tracking of bacterial growth kinetics in colonies, the system holds the potential to reveal new insights into understanding the impact of microbial heterogeneity on antibiotic resistance and persistence.

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Pandey, S. , Park, Y. , Ankita, A. and Phillips, G. J. (2021). Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times. HardwareX, e8735. doi: http://dx.doi.org/10.1016/j.ohx.2021.e00249.

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