macrosight
macrosight analyzes overlapping macrophages to detect and track cell shape and trajectories and quantify direction changes associated with cell–cell contact using a MATLAB-based framework.
Key Features:
- MATLAB implementation: Implemented as a MATLAB-based software framework.
- Segmentation of overlapping cells: Uses a segmentation technique to identify overlapping macrophages and discern clumps of two or more cells.
- Tracking framework: Tracks cell trajectories to analyze movement before and after overlap.
- Shape and trajectory analysis: Detects and analyzes cell shape and trajectory characteristics of individual cells and clumps.
- Directional-change detection: Algorithmically assesses directional changes resulting from cell–cell contact.
- Statistical analysis of interactions: Demonstrated statistically significant differences in directional changes after interactions compared to non-contact controls.
Scientific Applications:
- Immune cell migration studies: Quantifies how macrophage interactions affect migration patterns relevant to immune responses.
- Cell–cell interaction analysis: Identifies and characterizes directional changes caused by macrophage contact to study interaction-driven behavior.
- Mechanistic studies of physiological processes: Provides data on how macrophage interactions influence migration in physiological contexts.
Methodology:
Segmentation to identify overlapping cells and clumps of two or more, a tracking framework to analyze trajectories before and after overlap, and algorithmic assessment of directional changes associated with cell–cell contact, implemented in MATLAB.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- MATLAB
- Added:
- 2/20/2022
- Last Updated:
- 2/20/2022
Operations
Publications
Solís-Lemus JA, Stramer B, Slabaugh G, Reyes-Aldasoro CC. Macrosight: A Novel Framework to Analyze the Shape and Movement of Interacting Macrophages Using Matlab®. Journal of Imaging. 2019;5(1):17. doi:10.3390/jimaging5010017. PMID:34465701. PMCID:PMC8320860.