CellTrackVis
CellTrackVis visualizes cell trajectories and lineages to support analysis of cell motion and division patterns.
Key Features:
- Interactive visualization: Coordinated views present cell trajectories, lineages, and quantified information simultaneously to reveal patterns in cell motions and divisions.
- Customizability: Visualization components and parameters are configurable to accommodate different biological analysis tasks.
- Immediate interactivity: Linked modules enable dynamic exploration and interrogation of tracking outputs.
Scientific Applications:
- Developmental biology: Visualization of trajectories and lineage trees to analyze cell migration and division during development.
- Cancer research: Investigation of aberrant cell motion and division patterns through trajectory and lineage analyses.
- Cell behavior analysis: Identification of significant cellular events and interactions from quantified tracking data.
Methodology:
Integration of multiple visualization components into a coordinated interface using web technologies to present interactive trajectory, lineage, and quantified data views.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 9/25/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Shim C, Kim W, Nguyen TTD, Kim DY, Choi YS, Chung YD. CellTrackVis: interactive browser-based visualization for analyzing cell trajectories and lineages. BMC Bioinformatics. 2023;24(1). doi:10.1186/s12859-023-05218-y. PMID:36991341. PMCID:PMC10053428.
PMID: 36991341
PMCID: PMC10053428
Funding: - National Research Foundation of Korea: NRF-2021R1A6A1A13044830
- Ministry of Science and ICT, South Korea: IITP-2022-2020-0-01819
Documentation
Training material
http://scbeom.github.io/ctv_tutorial