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CellTrackVis: interactive browser-based visualization for analyzing cell trajectories and lineages
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Journal Article
CellTrackVis: interactive browser-based visualization for analyzing cell trajectories and lineages
2023
Overview
Background
Automatic cell tracking methods enable practitioners to analyze cell behaviors efficiently. Notwithstanding the continuous development of relevant software, user-friendly visualization tools have room for further improvements. Typical visualization mostly comes with main cell tracking tools as a simple plug-in, or relies on specific software/platforms. Although some tools are standalone, limited visual interactivity is provided, or otherwise cell tracking outputs are partially visualized.
Results
This paper proposes a self-reliant visualization system, CellTrackVis, to support quick and easy analysis of cell behaviors. Interconnected views help users discover meaningful patterns of cell motions and divisions in common web browsers. Specifically, cell trajectory, lineage, and quantified information are respectively visualized in a coordinated interface. In particular, immediate interactions among modules enable the study of cell tracking outputs to be more effective, and also each component is highly customizable for various biological tasks.
Conclusions
CellTrackVis is a standalone browser-based visualization tool. Source codes and data sets are freely available at
http://github.com/scbeom/celltrackvis
with the tutorial at
http://scbeom.github.io/ctv_tutorial
.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
