PartSeg

PartSeg performs segmentation and reconstruction of 3D microscopy images to extract quantitative features of cell nuclei.

Key Features:

• Automated Segmentation: Integrates refined state-of-the-art algorithms employing a novel multi-scale approach to segment densely packed structures within cell nuclei with overlapping signals.
• Reconstruction and Quantitative Feature Extraction: Performs 3D reconstruction and extracts quantitative measurements from segmented nuclear structures.
• Bulk Processing Capabilities: Supports bulk processing of image sets for large-scale studies and efficient data handling for statistical analysis.
• Extensibility and Integration: Provides components usable as a Python library and integrable into Jupyter notebook pipelines, with plugin support for extending functionality.
• Optimized for Cell Nucleus Analysis: Implements multiscale segmentation algorithms and verification steps tailored for analysis of nuclear structures.

Scientific Applications:

• Molecular pathway and phenotypic analysis: Enables quantitative analysis of nuclear structures to study molecular pathways and morphological phenotypes of cell populations under different conditions.
• Genomics and cellular biology studies: Supports applied studies in genomics and cellular biology that require precise quantitative measurements of nuclear morphology.

Methodology:

Integrates refined state-of-the-art algorithms using a novel multiscale segmentation approach for segmentation and reconstruction of densely packed nuclear structures with overlapping signals.