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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Autores principales:	Santosh Pandey, Yunsoo Park, Ankita Ankita, Gregory J. Phillips
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Antimicrobial resistance Antibiotics Incubation chamber Scanner Phenotype Image analysis Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/9c879266b5e84bfb8684b9ff2d9b8597
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spelling	oai:doaj.org-article:9c879266b5e84bfb8684b9ff2d9b85972021-12-02T05:03:28ZScan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times2468-067210.1016/j.ohx.2021.e00249https://doaj.org/article/9c879266b5e84bfb8684b9ff2d9b85972021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2468067221000791https://doaj.org/toc/2468-0672A 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.Santosh PandeyYunsoo ParkAnkita AnkitaGregory J. PhillipsElsevierarticleAntimicrobial resistanceAntibioticsIncubation chamberScannerPhenotypeImage analysisScience (General)Q1-390ENHardwareX, Vol 10, Iss , Pp e00249- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Antimicrobial resistance Antibiotics Incubation chamber Scanner Phenotype Image analysis Science (General) Q1-390
spellingShingle	Antimicrobial resistance Antibiotics Incubation chamber Scanner Phenotype Image analysis Science (General) Q1-390 Santosh Pandey Yunsoo Park Ankita Ankita Gregory J. Phillips Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
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.
format	article
author	Santosh Pandey Yunsoo Park Ankita Ankita Gregory J. Phillips
author_facet	Santosh Pandey Yunsoo Park Ankita Ankita Gregory J. Phillips
author_sort	Santosh Pandey
title	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_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_sort	scan4cfu: low-cost, open-source bacterial colony tracking over large areas and extended incubation times
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/9c879266b5e84bfb8684b9ff2d9b8597
work_keys_str_mv	AT santoshpandey scan4cfulowcostopensourcebacterialcolonytrackingoverlargeareasandextendedincubationtimes AT yunsoopark scan4cfulowcostopensourcebacterialcolonytrackingoverlargeareasandextendedincubationtimes AT ankitaankita scan4cfulowcostopensourcebacterialcolonytrackingoverlargeareasandextendedincubationtimes AT gregoryjphillips scan4cfulowcostopensourcebacterialcolonytrackingoverlargeareasandextendedincubationtimes
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Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times

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