Published January 2, 2026
| Version v1.0.0
Software
Open
Vacuolar Phenotype Analyzer: a trained CNN model and analysis pipeline for yeast vacuolar phenotypes.
Authors/Creators
Description
The Vacuolar Phenotype Analyzer model uses a convolutional neural network (CNN) to detect individual yeast cells in confocal FM4-64 images and classify each cell into vacuolar phenotypes A, B, or C, representing different degrees of vacuolar fragmentation.
Notes
If you use this model or code, please cite this work.
Files
README.md
Files
(23.2 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/bioszen/Vacuolar-phenotype-analizer/tree/v1.0.0 (URL)
Software
- Repository URL
- https://github.com/bioszen/Vacuolar-phenotype-analizer
- Programming language
- Python
- Development Status
- Active