View Code? Open in Web Editor
NEW
3D Tracking Based on Machine Learning
License: MIT License
3dtracking's Introduction
A 3D real-time tracking microscopy based on machine learning algorithm (T370PRP45001)
- Goal: Individual identification and tracking with high density.
- Milestones: 2D with low density ---> 2D with high density ---> 3D with high density.
- Languages:
Python
for machine learning; C++
for controlling.
References (Literature Review)
- BTrack
- Paper:
- Code:
- Using:
- Methods:
- Test:
- Deeptrack
- Paper:
- Code:
- Using:
- Methods:
- Test:
- ULTRACK
- Paper:
- Code:
- Using:
- Watershed
- Cellpose
- Stardist
- U-Net
- ILP(integer linear programming)
- Methods:
- Test:
- EmbedTrack
- Paper:
- Code:
- Using:
- Methods:
- Test:
- LIM tracker
- Paper
- Code:
- Using:
- Methods:
- Test:
- Cellpose
- Paper
- Code:
- Using:
- Methods:
- Test:
- Stardist
- Paper:
- Code:
- Github repo
- Form: Python package / Desktop app / Fiji/ImageJ/... plugin
- Using:
- Methods:
- Test:
3dtracking's People
Contributors
Stargazers
Watchers