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.

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