Vacuolar Phenotype Analyzer: a trained CNN model and analysis pipeline for yeast vacuolar phenotypes.
Abstract
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.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026