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

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 var...

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Detalles Bibliográficos
Autores principales: Pandey, Santosh, Park, Yunsoo, Ankita, Ankita, Phillips, Gregory J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123444/
https://www.ncbi.nlm.nih.gov/pubmed/35607694
http://dx.doi.org/10.1016/j.ohx.2021.e00249
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author Pandey, Santosh
Park, Yunsoo
Ankita, Ankita
Phillips, Gregory J.
author_facet Pandey, Santosh
Park, Yunsoo
Ankita, Ankita
Phillips, Gregory J.
author_sort Pandey, Santosh
collection PubMed
description 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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spelling pubmed-91234442022-05-22 Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times Pandey, Santosh Park, Yunsoo Ankita, Ankita Phillips, Gregory J. HardwareX Article 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. Elsevier 2021-11-25 /pmc/articles/PMC9123444/ /pubmed/35607694 http://dx.doi.org/10.1016/j.ohx.2021.e00249 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pandey, Santosh
Park, Yunsoo
Ankita, Ankita
Phillips, Gregory J.
Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
title Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
title_full Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
title_fullStr Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
title_full_unstemmed Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
title_short Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
title_sort scan4cfu: low-cost, open-source bacterial colony tracking over large areas and extended incubation times
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123444/
https://www.ncbi.nlm.nih.gov/pubmed/35607694
http://dx.doi.org/10.1016/j.ohx.2021.e00249
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