NucliTrack

NucliTrack segments and tracks fluorescently labeled nuclei in time-lapse fluorescence microscopy to enable quantitative analysis of single-cell dynamics and fate decisions.

Key Features:

• Automated Segmentation and Tracking: Automatically segments fluorescent nuclei and tracks them across multiple frames using advanced algorithms.
• Image Processing Techniques: Implements image processing methods for accurate nucleus segmentation from fluorescence microscopy images.
• Tracking Algorithms: Applies tracking algorithms to follow segmented nuclei over time and maintain object correspondences across frames.
• Feature Extraction: Extracts quantitative features from tracked nuclei for downstream analysis.

Scientific Applications:

• Live Imaging Studies: Enables analysis of dynamic single-cell behaviors and fate decisions in live imaging experiments.
• Developmental Biology: Supports studies requiring precise temporal and spatial data on cellular dynamics during development.
• Cancer Research: Supports research that requires precise temporal and spatial information on cellular dynamics in cancer contexts.
• Stem Cell Studies: Facilitates tracking of cellular dynamics and fate decisions in stem cell experiments.

Methodology:

Uses image processing techniques to segment nuclei from fluorescence microscopy images, tracking algorithms to follow segmented nuclei across multiple frames, and extracts relevant quantitative features from the tracked nuclei for further analysis.