LEVER: software tools for segmentation, tracking and lineaging of proliferating cells

Area of Science:

• Biological microscopy
• Cell biology
• Image analysis

Background:

• Accurate tracking of cell division is crucial for understanding vertebrate stem and cancer cell behavior.
• Phase-contrast microscopy is often used for high-temporal-resolution imaging, generating large datasets.
• Automated segmentation, tracking, and lineaging algorithms are essential for processing these image sequences.

Purpose of the Study:

• To develop an open-source software tool for automated analysis of cell division in phase-contrast microscopy movies.
• To provide an integrated interface for validating and correcting errors in automated image analysis.
• To facilitate accurate lineage tracing of cells over time.

Main Methods:

• Development of LEVER, an open-source software tool.
• Integration of automated segmentation, tracking, and lineaging algorithms.
• Implementation of a user-friendly interface for result validation and error correction.

Main Results:

• LEVER enables automated image analysis of phase-contrast microscopy movies.
• The software provides an easy-to-use interface for validating and correcting segmentation and tracking errors.
• Facilitates accurate cell lineage reconstruction from time-lapse imaging.

Conclusions:

• LEVER offers a robust solution for automated cell division analysis in microscopy.
• The software's integrated error correction streamlines the lineage tracing process.
• LEVER is freely available as open-source software, promoting accessibility in biological research.