Related Experiment Video
Updated: Sep 23, 2025
Quantifying Bacterial Surface Swarming Motility on Inducer Gradient Plates
Published on: January 5, 2022
VisuStatR: visualizing motility and morphology statistics on images in R
Christoph Harmel1, Samy Sid Ahmed2, Robin Koch3,4,5,6
1BioQuant-Center for Quantitative Biology, Heidelberg University, 69120 Heidelberg, Germany.
Motivation:
Live-cell microscopy has become an essential tool for analyzing dynamic processes in various biological applications. Thereby, high-throughput and automated tracking analyses allow the simultaneous evaluation of large numbers of objects. However, to critically assess the influence of individual objects on calculated summary statistics, and to detect heterogeneous dynamics or possible artifacts, such as misclassified or -tracked objects, a direct mapping of gained statistical information onto the actual image data would be necessary.
Results:
We present VisuStatR as a platform independent software package that allows the direct visualization of time-resolved summary statistics of morphological characteristics or motility dynamics onto raw images. The software contains several display modes to compare user-defined summary statistics and the underlying image data in various levels of detail.
Availability And Implementation:
VisuStatR is a free and open-source R-package, containing a user-friendly graphical-user interface and is available via GitHub at https://github.com/grrchrr/VisuStatR/ under the MIT+ license.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
