TASI

TASI performs quantitative spatiotemporal analysis of spheroid cultures derived from explanted cancer specimens to characterize tumor spheroid dynamics such as invasion, metastasis, growth, and proliferation, including applications to non-small cell lung cancer.

Key Features:

• Spatiotemporal Segmentation: Performs segmentation of spheroid images across timepoints to delineate spheroid boundaries and temporal changes.
• Morpho-phenotypic Feature Extraction: Extracts quantitative features describing morphological and phenotypic characteristics of spheroids.
• Mathematical Modeling: Applies mathematical models to simulate and predict spheroid dynamics.
• Statistical Analysis: Performs statistical comparisons across experimental conditions to quantify variability in cell behaviors.
• Temporal Imaging Integration: Integrates temporal imaging with quantitative image analysis to capture dynamic changes in spheroid cultures.

Scientific Applications:

• Non-small cell lung cancer spheroid analysis: Analyzes non-small cell lung cancer spheroids to investigate variations in metastatic and proliferative behaviors.
• Tumor invasion and metastasis dynamics: Characterizes temporal dynamics of tumor cell invasion and metastasis in spheroid cultures.
• Spheroid growth and proliferation studies: Quantifies spheroid growth and proliferative behavior over time.

Methodology:

Integrates temporal imaging with advanced quantitative image analysis techniques including spatiotemporal segmentation, morpho-phenotypic feature extraction, mathematical modeling, and statistical comparisons.