Analytics and visualization tools to characterize single-cell stochasticity using bacterial single-cell movie cytometry data

Analytics and visualization tools to characterize single-cell stochasticity using bacterial single-cell movie cytometry data

Background: Time-lapse microscopy live-cell imaging is essential for studying the evolution of bacterial communities at single-cell resolution. It allows capturing detailed information about the morphology, gene expression, and spatial characteristics of individual cells at every time instance of th...

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Bibliographic Details
Main Authors: Balomenos, A.D (Author), Manolakos, E.S (Author), Stefanou, V. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Bacteria
Bacterial cell community dynamic
Bacterial cell community dynamics
Bacterial cells
bacterium
Cell culture
Cell cytometry
Cell proliferation
Community dynamics
Cytometry
Forestry
Gene expression
Generation tree
Generation trees
genetics
Growth kinetics
human
Humans
Image analysis
image processing
Image Processing, Computer-Assisted
Lineage tree
Lineage trees
Live-cell imaging
microscopy
Microscopy
Motion pictures
Motion Pictures
movie
Physiology
Population statistics
Single cells
Single-cell analytic
Single-cell analytics
software
Software
Stochastic models
Stochastic systems
Stochasticity
Stochasticity modeling
Time series
Time series analysis
Time-lapse microscopy
Visualization
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