Modelling and Analysis of Phase Variation in Bacterial Colony Growth

2013 ◽  
pp. 78-91 ◽  
Author(s):  
Ovidiu Pârvu ◽  
David Gilbert ◽  
Monika Heiner ◽  
Fei Liu ◽  
Nigel Saunders
Keyword(s):  
Phase Variation ◽  
Colony Growth ◽  
Bacterial Colony

scholarly journals Efficient microbial colony growth dynamics quantification with ColTapp, an automated image analysis application

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Julian Bär ◽  
Mathilde Boumasmoud ◽  
Roger D. Kouyos ◽  
Annelies S. Zinkernagel ◽  
Clément Vulin
Keyword(s):  
Growth Dynamics ◽  
Time Lapse ◽  
Colony Growth ◽  
Lag Time ◽  
Automated Image Analysis ◽  
Clinical Samples ◽  
Clinical Settings ◽  
Bacterial Colony ◽  
Analysis Application ◽  
Population Survival

Abstract Populations of genetically identical bacteria are phenotypically heterogeneous, giving rise to population functionalities that would not be possible in homogeneous populations. For instance, a proportion of non-dividing bacteria could persist through antibiotic challenges and secure population survival. This heterogeneity can be studied in complex environmental or clinical samples by spreading the bacteria on agar plates and monitoring time to growth resumption in order to infer their metabolic state distribution. We present ColTapp, the Colony Time-lapse application for bacterial colony growth quantification. Its intuitive graphical user interface allows users to analyze time-lapse images of agar plates to monitor size, color and morphology of colonies. Additionally, images at isolated timepoints can be used to estimate lag time. Using ColTapp, we analyze a dataset of Staphylococcus aureus time-lapse images including populations with heterogeneous lag time. Colonies on dense plates reach saturation early, leading to overestimation of lag time from isolated images. We show that this bias can be corrected by taking into account the area available to each colony on the plate. We envision that in clinical settings, improved analysis of colony growth dynamics may help treatment decisions oriented towards personalized antibiotic therapies.

A bacterial colony growth algorithm for mobile robot localization

2008 ◽  
Vol 24 (4) ◽  
pp. 349-364 ◽  
Author(s):  
Andrea Gasparri ◽  
Mattia Prosperi
Keyword(s):  
Mobile Robot ◽  
Colony Growth ◽  
Robot Localization ◽  
Bacterial Colony ◽  
Mobile Robot Localization

scholarly journals Relation of Capsular Polysaccharide Production and Colonial Cell Organization to Colony Morphology in Vibrio parahaemolyticus

2000 ◽  
Vol 182 (19) ◽  
pp. 5513-5520 ◽  
Author(s):  
Jodi L. Enos-Berlage ◽  
Linda L. McCarter
Keyword(s):  
Vibrio Parahaemolyticus ◽  
Structural Integrity ◽  
Capsular Polysaccharide ◽  
Phase Variation ◽  
Confocal Scanning Laser Microscopy ◽  
Dense Layer ◽  
Bacterial Cells ◽  
Bacterial Colony ◽  
Thin Sections ◽  
Cell Organization

ABSTRACT Vibrio parahaemolyticus is a ubiquitous, gram-negative marine bacterium that undergoes phase variation between opaque and translucent colony morphologies. The purpose of this study was to determine the factor(s) responsible for the opaque and translucent phenotypes and to examine cell organization within both colony types. Examination of thin sections of ruthenium red-stained bacterial cells by electron microscopy revealed a thick, electron-dense layer surrounding the opaque cells that was absent in preparations from translucent strains. Extracellular polysaccharide (EPS) material was extracted from both opaque and translucent strains, and the opaque strain was shown to produce abundant levels of polysaccharide, in contrast to the translucent strain. Compositional analysis of the EPS identified four major sugars: glucose, galactose, fucose, andN-acetylglucosamine. Confocal scanning laser microscopy was used to investigate cell organization within opaque and translucent colonies. Cells within both types of colonies exhibited striking organization; rod-shaped cells were aligned parallel to one another and perpendicular to the agar surface throughout the depth of the colony. Cells within translucent colonies appeared more tightly packed than cells in opaque colonies. In addition, a dramatic difference in the structural integrity of these two colony types was observed. When colonies were perturbed, the cell organization of the translucent colonies was completely disrupted while the organization of the opaque colonies was maintained. To our knowledge, this study represents the first description of how cells are organized in the interior of a viable bacterial colony. We propose that the copious amount of EPS produced by the opaque strain fills the intercellular space within the colony, resulting in increased structural integrity and the opaque phenotype.

scholarly journals BacSim, a simulator for individual-based modelling of bacterial colony growth

Microbiology ◽  
1998 ◽  
Vol 144 (12) ◽  
pp. 3275-3287 ◽  
Author(s):  
J.-U. Kreft ◽  
G. Booth ◽  
J. W. T. Wimpenny
Keyword(s):  
Colony Growth ◽  
Bacterial Colony

scholarly journals Comparison of the Colonies Number of the Germs Formed Post Operation between the Utilization of Single, Double, and Orthopedic Gloves in Closed Fracture Operations More Than 2 Hours

2021 ◽  
Vol 17 (2) ◽  
pp. 151
Author(s):  
Deni Maulana ◽  
Yoyos Dias Ismiarto ◽  
Widya Arsa
Keyword(s):  
Colony Growth ◽  
P Value ◽  
Closed Fracture ◽  
Bacterial Colony ◽  
Surgical Gloves ◽  
Glove Perforation ◽  
Fracture Management ◽  
Significant Difference ◽  
Post Operation

Abstract: Post-operative infection is still one of the most common nosocomial diseases that can cause great losses because it will increase the length of stay, use of drugs, and reduce the quality of life of the patients. The risk will increase if the number of colonies is> 105 bacteria per gram of tissue. Various ways have been done to reduce the number of bacteria in the operation area, including the use of surgical gloves. This study analyzed the comparison of the level of bacterial colonies that grew on the surface of single, double, and orthopedic surgical gloves in closed fracture management for more than 2 hours at Hasan Sadikin Hospital. The statistical analysis was done with p-value = 0.011 (<0.05), which means a significant difference in the number of germ colonies that grow between single, double, and orthopedic gloves. Double gloves and orthopedic gloves have a better ability to reduce bacterial colony growth. Meanwhile, there was no significant difference in the number of bacterial colonies formed between double gloves and orthopedics. Perforation is a factor affecting the number of germ colonies that formed. The use of double gloves and orthopedic gloves in closed fracture surgery for more than 2 hours shows the number of bacterial colonies formed is less than single gloves. There was a significant difference in the rate of perforation between standard surgical gloves and orthopedic gloves. Keywords: Bacteria colony, Single glove, Double glove, Orthopaedic glove, Perforation

scholarly journals ColTapp, an automated image analysis application for efficient microbial colony growth dynamics quantification

2020 ◽  
Author(s):  
Julian Bär ◽  
Mathilde Boumasmoud ◽  
Roger Kouyos ◽  
Annelies S. Zinkernagel ◽  
Clément Vulin
Keyword(s):  
Growth Dynamics ◽  
Time Estimation ◽  
Time Lapse ◽  
Colony Growth ◽  
Lag Time ◽  
Phenotypic Heterogeneity ◽  
Automated Image Analysis ◽  
Bacterial Colony ◽  
Staphyloccocus Aureus ◽  
Analysis Application

AbstractPhenotypic heterogeneity occurs in a population of genetically identical bacteria due to stochastic molecular fluctuations and environmental variations. In extreme cases of phenotypic heterogeneity, a fraction of the bacterial population enters dormancy, and these metabolically inactive or non-dividing bacteria persist through most antibiotic challenges. These subpopulations of persister cells are difficult to study in patient samples. However, the proportion of persisters in a sample can be accessed by physically separating bacteria on a plate measuring the time until colonies become visible as dormant bacteria resume growth later than their active counterparts and form smaller colonies.Here, we present ColTapp (Colony Time-lapse app), an application dedicated to bacterial colony growth quantification, freely available for download together with its MATLAB source code or as a MacOS/Windows executable. ColTapp’s intuitive graphical user interface allows users without prior coding knowledge to analyze endpoint or time-lapse images of colonies on agar plates. Colonies are detected automatically, and their radius can be tracked over time. Downstream analyses to derive colony lag time and growth rate are implemented.We demonstrate here the applicability of ColTapp on a dataset of Staphyloccocus aureus colony time-lapse images. Colonies on dense plates reached saturation early, biasing lag time estimation from endpoint images. This bias can be reduced by considering the area available to each colony on a plate.By facilitating the analysis of colony growth dynamics in clinical settings, this application will enable a new type of diagnostics, oriented towards personalized antibiotic therapies.

scholarly journals Operation Field Contamination During Intraoperative Fluoroscopy

2021 ◽  
Author(s):  
Xiaodong Li ◽  
Fei Yang ◽  
Jian Tang ◽  
Jingjing Dai ◽  
Xiaoqing Wang
Keyword(s):  
Operating Room ◽  
Postoperative Infection ◽  
Colony Growth ◽  
Operating Rooms ◽  
Control Group ◽  
Operative Field ◽  
Bacterial Colony ◽  
Intraoperative Fluoroscopy ◽  
Columbia Agar ◽  
Sterile Drape

Abstract Background: intraoperative C-arm fluoroscopy is commonly performed during traumatic orthopedic surgeries. The C-arm sterile drape is often used in cases of contamination of the operative field following postoperative infection. The aim of the present study was to investigate operation field contamination during traumatic orthopedic surgeries and evaluate the factors, especially intraoperative fluoroscopy, which affect operation field contamination. Methods: sterile 5% sheep blood Columbia agar plates were used to simulate the operation field. The C-arm was moved over the operation field in different grade clean operating rooms, simulating intraoperative fluoroscopy. The agar plates were then incubated and assessed for bacterial colony growth. Results: our results showed significant differences between the 3rd grade clean operating room and the 2nd or 1st grade clean operating rooms in the risk of operation field contamination. Nevertheless, there were no significant differences in the operation field contamination between the C-arm drape group and the control group. Conclusions: we conclude that C-arm equipment can be used without the drape during orthopedic surgeries to avoid contact with the operation field.

scholarly journals Superoxide dismutase produced by soil bacteria increases bacterial colony growth from soil samples

2003 ◽  
Vol 49 (4) ◽  
pp. 263-266 ◽  
Author(s):  
Yoko Takahashi ◽  
Shogo Katoh ◽  
Noriyasu Shikura ◽  
Hiroshi Tomoda ◽  
Satoshi Omura
Keyword(s):  
Superoxide Dismutase ◽  
Soil Bacteria ◽  
Colony Growth ◽  
Soil Samples ◽  
Bacterial Colony

The Relevance of Conditional Dispersal for Bacterial Colony Growth and Biodegradation

2011 ◽  
Vol 63 (2) ◽  
pp. 339-347 ◽  
Author(s):  
Thomas Banitz ◽  
Karin Johst ◽  
Lukas Y. Wick ◽  
Ingo Fetzer ◽  
Hauke Harms ◽  
...  
Keyword(s):  
Colony Growth ◽  
Bacterial Colony ◽  
Conditional Dispersal
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