FAAS

FAAS quantifies focal adhesions from time-lapse fluorescence microscopy images of 2D cell cultures to extract static and dynamic metrics relevant to cell motility and mechanotransduction.

Key Features:

• Computer vision algorithms: Employs advanced computer vision algorithms to process time-lapse images of fluorescently labeled focal adhesion proteins.
• Input data support: Accepts time-lapse fluorescence microscopy images from 2D cell cultures containing fluorescently labeled focal adhesion proteins.
• Multiple-image processing: Handles multiple image inputs and identifies focal adhesions across image sets and time frames.
• Per-adhesion quantitative metrics: Provides comprehensive measurements for each identified adhesion within images.
• Dynamic adhesion analysis: Captures time-resolved metrics describing formation, maturation, and disassembly of focal adhesions.
• Adjustable detection parameters: Offers tunable parameters for focal adhesion identification to accommodate experimental conditions.
• Global unbiased assessment: Delivers global and unbiased assessments of focal adhesion behavior across datasets.

Scientific Applications:

• Cell biology: Quantifies focal adhesion properties to study molecular mechanisms of adhesion and signaling.
• Mechanobiology: Analyzes adhesion dynamics to investigate cellular responses to mechanical stimuli.
• Cell migration and motility studies: Measures adhesion turnover and dynamics to support analyses of migration patterns in motile cells.

Methodology:

Processes time-lapse fluorescence images of focal adhesion proteins using advanced computer vision algorithms to identify adhesions and extract per-adhesion static and time-resolved metrics.