Artificial Intelligence
Détection de vésicules
Counting vesicles in microscopy, automatically
Platforms
- Desktop
Markets
- Recherche
Stack
- Python
- YOLOv11
- OpenCV
- NumPy
- Imagerie 16 bits
The project
An applied research project: detecting and counting vesicles on microscopy images using a YOLOv11 model. The full pipeline exports 16-bit frames, applies a series of filters, trains the model, then produces comparison montages so results can be validated visually.
Key points
- Automated detection and counting with a custom-trained YOLOv11 model
- 16-bit microscopy image processing
- Documented preprocessing pipeline with filter comparison
- Validation montages generated automatically
- Reproducible Python scripts with a complete project guide
Screens for this project can't be published — they contain real client data.
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