ArticleFrontiers in plant science2025
Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis.
Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Image-based high-throughput phenotyping enables genetic analyses of pod morphological traits in mungbean (Vigna radiata (L.) R. Wilczek).G3 (Bethesda, Md.) · 2026Article
- Samplify: a versatile tool for image-based segmentation and annotation of seed abortion phenotypes.The New phytologist · 2026Article
- New-generation rice seed germination assessment: high efficiency and flexibility via SeedRuler web-based platform.Frontiers in plant science · 2025Article
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7 authors.
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Abstract
Plants adapt seed traits in response to different environmental triggers, supporting the survival of the next generation. To elucidate the mechanistic understanding of such adaptations it is important to characterize the distributions of seed traits by phenotyping seeds on an individual scale and to correlate these traits with corresponding plant properties. Here we introduce a seed-to-plant-tracking pipeline which enables automated handling and high precision phenotyping of Arabidopsis seeds as well as germination detection and early growth quantification of emerging plants. It includes previously published measurement platforms (
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