Bayesian Tracker (btrack)

Type
Author
Kristina Ulicna
Requires
Execution Platform
Implementation Type
Supported image dimension
Interaction Level
License/Openness
Description

btrack is a Python library for multi object tracking, used to reconstruct trajectories in crowded fields. btrack implemented a residual U-Net model coupledd with a classification CNN to allow accurate instance segmentation of the cell nuclei. To track the cells over time and through cell divisions, btrack developed a Bayesian cell tracking methodology that uses input features from the images to enable the retrieval of multi-generational lineage information from a corpus of thousands of hours of live-cell imaging data.

has biological terms
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Last modified
05/12/2023 - 17:41