laocoon
laocoon performs automated high-throughput counting and cell-cycle phase quantification of fluorescently-labelled microscopy images, including Fucci-labelled cells and DAPI channel detection.
Key Features:
- Automation: Fully automatic detection and counting of cells without manual region-of-interest specification.
- High-throughput: Scales to process large numbers of microscopy images for population-level quantification.
- Accuracy: Engineered to deliver reliable cell counts and reduce common inaccuracies in automated counting.
- Cell Cycle Analysis: Determines the proportion of cells within each cell-cycle phase relative to all cells detected in the DAPI channel, applicable to Fucci-labelled cells.
- Computer Vision Integration: Integrates multiple computer vision techniques and algorithms to perform detection and quantification.
Scientific Applications:
- Fucci cell quantification: Quantifies and analyzes fluorescently stained Fucci cells where fluorescent proteins report cell-cycle stages.
- Cell proliferation and growth studies: Supports research into cell proliferation, growth patterns, and cell-cycle dynamics using phase-resolved counts.
- Clinical and quantitative cell counting: Provides precise cell quantification useful for applications requiring accurate population and phase proportions.
Methodology:
Synthesizes existing computer vision methods and algorithms to automate detection and counting of fluorescently-labelled cells in microscopy images.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 12/22/2020
Operations
Publications
Lim K, Louie M, La Torre A, Fairchild C, Korf I. <i>Laocoön</i>: a tool for high-throughput automated cell counting. Unknown Journal. 2019. doi:10.1101/751073.
DOI: 10.1101/751073