btrack
A framework for Bayesian multi-object tracking
Workflow step:
Object tracking›Isolated object tracking›Cell tracking
Object tracking›Cell lineage extraction
BayesianTracker (btrack) is a multi object tracking algorithm,
specifically used to reconstruct trajectories in crowded fields. New
observations are assigned to tracks by evaluating the posterior probability of
each potential linkage from a Bayesian belief matrix for all possible
linkages.
We developed btrack for cell tracking in time-lapse microscopy data.
associated plugins¶
- napari-arboretum - Napari plugin to enable track graph and lineage tree visualization.
- napari-btrack - (Experimental) Napari plugin to provide a frontend GUI for
btrack.
Version:
- 0.4.5
Release date:
- 23 June 2022
First released:
- 27 May 2020
License:
- MIT
GitHub activity:
- Stars: 204
- Forks: 41
- Issues + PRs: 40