CellTracking

Please note, this is just a landing page for our cell tracking software projects

The cell tracking pipeline consists of several libraries:

Data acquisition

• OctopusLite (https://github.com/quantumjot/OctopusLite)

Image analysis and cell tracking

• cellx (https://github.com/quantumjot/cellx)
• CNN-annotator (https://github.com/lowe-lab-ucl/cnn-annotator)
• BayesianTracker (https://github.com/quantumjot/BayesianTracker)
• Arboretum (https://github.com/quantumjot/Arboretum)

Explainable AI models

• cellx-predict (https://github.com/lowe-lab-ucl/cellx-predict)

Cell cycling & lineage tree analysis

• DeepTree (https://github.com/KristinaUlicna/DeepTree)

Cell neighbourhood and fate analysis

• Neighbourhood analysis and Chessplots (https://github.com/DGradeci/Chessplots)

Example of segmenting and localizing cells in low contrast microscopy images

For more information see: http://lowe.cs.ucl.ac.uk/cellx.html