RABiTPy

RABiTPy integrates traditional and artificial intelligence-based segmentation with tracking tools for bacterial image and video analysis.

Key Features:

• Segmentation Methods: Supports adaptive thresholding, automated thresholding, and AI-based segmentation with user-adjustable parameters.
• Tracking Analysis: Provides customizable parameters to enhance tracking efficiency for bacterial detection and tracking.
• Spatiotemporal Analysis: Computes trajectories, motile speeds, mean squared displacement, and turning angles.
• Visualization Options: Offers a variety of visualization options for analyzed data.
• Processing Support: Supports GPU and CPU processing as well as cloud computing.
• Format Compatibility: Supports numerous image and video formats.

Scientific Applications:

• Bacterial Motility: Analyzes mechanisms governing bacterial motility and chemotaxis.
• Cell Division Studies: Tracks and analyzes bacterial cell division processes.
• Biofilm Formation: Investigates bacterial biofilm formation dynamics.
• Pathogenesis Research: Studies bacterial behavior related to pathogenesis.
• Bacterial Physiology: Enables analysis of bacterial physiology and behavior through scalable tracking platforms.

Methodology:

RABiTPy runs interactively in Jupyter notebooks and integrates traditional and AI-based segmentation methods with tracking tools within a modular pipeline.