首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times
  • 本地全文:下载
  • 作者:Santosh Pandey ; Santosh Pandey ; Yunsoo Park
  • 期刊名称:OpenHardwareX
  • 印刷版ISSN:2468-0672
  • 出版年度:2021
  • 卷号:10
  • 页码:1-11
  • DOI:10.1016/j.ohx.2021.e00249
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Graphical abstractA low-cost, open-source platform is demonstrated to perform automated image capture and image analysis of bacterial colony growth on multiple nutrient agar plates simultaneously. The system components are temperature-controlled growth chamber, high-resolution scanner, and a graphical interface to extract and plot the colony lag time and growth kinetics.Display OmittedAbstractA hallmark of bacterial populations culturedin vitrois 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 ofEscherichia coliK12 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.
  • 关键词:Antimicrobial resistance;Antibiotics;Incubation chamber;Scanner;Phenotype;Image analysis;Bacteria imaging
国家哲学社会科学文献中心版权所有