https://github.com/quantumjot/celltracking

Cell tracking using TensorFlow and BayesianTracker
https://github.com/quantumjot/celltracking

Last synced: 3 months ago
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Cell tracking using TensorFlow and BayesianTracker

• Host: GitHub
• URL: https://github.com/quantumjot/celltracking
• Owner: quantumjot
• Created: 2018-07-03T10:49:21.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-01-17T12:04:21.000Z (over 3 years ago)
• Last Synced: 2025-01-12T23:43:46.630Z (4 months ago)
• Homepage:
• Size: 1.54 MB
• Stars: 22
• Watchers: 3
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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)

[![conv-net-output](http://lowe.cs.ucl.ac.uk/images/segmentation.png)]()  

*Example of segmenting and localizing cells in low contrast microscopy images*

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