Plant BiologybioRxivPreprint
A user-friendly machine-learning program to quantify stomatal features from fluorescence images
Gabriel J. Angres, Alexander Gillert, Andrew Muroyama
The paper introduces QuickSpotter, a machine-learning tool for semi-automated stomatal annotation in fluorescence images, and demonstrates its use in analyzing stomatal morphology during development and under pharmacological treatments.
DOI 10.1101/2025.11.20.689597