flowcatchR

flowcatchR analyzes in vivo microscopy imaging data to segment and track blood cells and to classify particles as flowing, rolling, or adherent for studies of vascular cell dynamics.

Key Features:

• Segmentation and Feature Calculation: Performs image segmentation and calculates features for identified blood cells in microscopy data.
• Particle Filtering: Applies filtering criteria to exclude non-relevant particles from downstream analyses.
• Quality Assurance Utilities: Implements quality-assessment utilities to evaluate segmentation and other processing operations.

Scientific Applications:

• Vascular biology: Enables analysis of blood cell behavior within vessels to study cellular interactions relevant to vascular biology.
• Immunology: Supports immunology research by enabling tracking and categorization of blood-cell movement within vessels.

Methodology:

Applies advanced image processing techniques to handle high-throughput microscopy data and integrates with Bioconductor in R, leveraging interoperable Bioconductor packages that undergo community review and continuous automated testing.