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
Funding: - National Research Foundation of Korea: NRF-2021R1A6A1A13044830 - Ministry of Science and ICT, South Korea: IITP-2022-2020-0-01819

Documentation