LOBSTER

LOBSTER segments and tracks small objects in large fluorescence microscopy images to enable quantitative analysis of high-dimensional imaging datasets.

Key Features:

• Segmentation and Tracking: Performs segmentation and tracking of small biological objects in fluorescence microscopy images.
• Customizable Workflows: Provides modular workflows that can be designed and tailored to specific image analysis needs.
• Large Image Handling: Processes images and high-dimensional datasets that exceed typical workstation memory capacities.
• Workflow Library: Includes over 75 sample image analysis workflows derived from research projects.
• MATLAB Integration: Operates with MATLAB (>= 2015a) using the Image Processing Toolbox and the Statistics and Machine Learning Toolbox.
• Quantitative Measurements: Enables precise quantitative characterization of biological objects from fluorescence images.

Scientific Applications:

• Quantitative fluorescence image analysis: Supports detailed measurement and characterization of biological objects and fluorescent signals.
• High-resolution and high-dimensional imaging projects: Applied to datasets where image size or dimensionality exceeds standard workstation limits.
• Cellular and developmental biology: Facilitates segmentation and tracking for studies in cellular biology and developmental research.

Methodology:

LOBSTER uses modular, adjustable workflows that integrate image processing techniques for segmentation, tracking, and quantitative analysis.