JeasyTFM

JeasyTFM analyzes traction force microscopy (TFM) time-lapse images to quantify cellular traction forces and enable large-scale, multi-position and multi-color measurements of cell–extracellular matrix mechanics.

Key Features:

• ImageJ plugin: Implemented as a plugin for ImageJ to integrate with ImageJ image-processing functions for TFM data.
• Large-scale TFM dataset analysis: Supports analysis of large-scale traction force microscopy datasets for high-throughput experiments.
• Time-lapse image processing: Processes time-lapse images captured during TFM experiments to extract temporal force information.
• Multi-color and multi-position analysis: Supports multi-color and multi-position time-lapse images to analyze different cellular components or spatially resolved conditions simultaneously.
• Automatic data processing: Automates data processing workflows to compute traction forces from image datasets.

Scientific Applications:

• Cell mechanics: Quantifies tensile forces exerted by adherent cells on their substrates for studies of cellular mechanics.
• Mechanobiology: Enables investigation of how cells sense and respond to mechanical cues in the extracellular matrix.
• Tissue engineering: Provides force measurements relevant to designing and evaluating engineered extracellular matrices and constructs.
• Cancer research: Facilitates analysis of cell–matrix interactions and force generation in cancer-related studies.

Methodology:

Processes time-lapse images from TFM experiments and analyzes them to quantify forces exerted by adherent cells on their substrates; handles multi-color imaging for simultaneous analysis of different cellular components or conditions and multi-position imaging for spatially resolved force measurements; automates processing of large datasets.