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Deep learning-based high-throughput detection of in vitro germination to assess pollen viability from microscopic images
In vitro pollen germination is considered the most efficient method to assess pollen viability. The pollen germination frequency and pollen tube length, which are key indicators of pollen viability, should be accurately measured during in vitro culture. In this study, a Mask R-CNN model trained usin...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662222/ https://www.ncbi.nlm.nih.gov/pubmed/37584205 http://dx.doi.org/10.1093/jxb/erad315 |