Karel Říha

PAT: An Image Analysis Tool for Automated Scoring of Pollen in Alexander-Stained Anthers

Abstract Quantitative pollen viability analysis is a critical but labor-intensive step in plant reproductive biology. Existing deep-learning Segment Anything Models (SAM) fail to reliably segment viable pollen in Alexander-stained anthers. To address this, we fine-tuned an existi...