VisuStatR

VisuStatR visualizes motility and morphology summary statistics from live-cell microscopy by mapping time-resolved quantitative measures onto raw image data to support assessment of dynamic behaviors and tracking-derived results.

Key Features:

• Direct Visualization: Maps time-resolved summary statistics onto raw image data and image objects to correlate numerical measures with visual evidence.
• Multiple Display Modes: Provides display modes to compare user-defined summary statistics with underlying image data at different levels of detail.
• R-package Implementation: Packaged as an R-package for integration with R-based analysis workflows.
• High-throughput Tracking Integration: Supports integration with high-throughput and automated tracking analyses for processing large datasets.
• Object-level Quality Control: Enables assessment of individual object influence on summary statistics and identification of heterogeneous dynamics or artifacts such as misclassified or incorrectly tracked objects.

Scientific Applications:

• Cell Biology: Analyze cell motility and morphology changes over time using live-cell microscopy-derived statistics.
• Developmental Biology: Visualize morphological changes during developmental stages from time-lapse imaging.
• Cancer Research: Track and visualize cancer cell dynamics to study aspects of tumor progression and metastasis.

Methodology:

Integration of statistical computations with image data visualization and use of high-throughput, automated tracking analyses to handle large datasets.