LEVER

LEVER performs automated analysis of time-lapse, phase-contrast microscopy images to quantify cell proliferation dynamics and reconstruct cell lineages.

Key Features:

• Automated segmentation, tracking, and lineaging: Implements algorithms for segmentation, cell tracking, and lineage reconstruction from phase-contrast time-lapse movies.
• Time-lapse and phase-contrast support: Operates specifically on phase-contrast microscopy time-lapse image sequences for live-cell studies.
• Quantification of proliferation dynamics: Extracts division events and lineage relationships to enable analysis of cell proliferation over time.

Scientific Applications:

• Cell proliferation dynamics: Enables quantitative analysis of cell division behavior and temporal proliferation patterns from time-lapse data.
• Vertebrate stem cell research: Supports tracking and lineage analysis to study behavior and development patterns of vertebrate stem cells.
• Cancer research: Supports analysis of proliferating cancer cells to investigate tumor growth dynamics and clonal evolution.

Methodology:

Applies automated segmentation, tracking, and lineaging algorithms to phase-contrast time-lapse (live-cell) microscopy images for lineage reconstruction and proliferation analysis.