ArticleApplications in plant sciences
Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.
Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Advancing cotton fiber research with variable-pressure scanning electron microscopy.Frontiers in plant science · 2025Article
- Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.Applications in plant sciencesArticle
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Premise: The shape of young cotton ( Methods: We developed semi-automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered (narrow) or hemisphere (wide) fibers in homogeneous or mixed populations. Results: The new methods were accurate for diverse accessions of Discussion: The use or adaptation of these improved methods will facilitate experiments with higher throughput to understand the biological factors controlling the variable shapes of young cotton fibers or other elongating single cells. This research also enables the exploration of links between early cell shape and mature cotton fiber quality in diverse field-grown cotton accessions.
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Registered trials
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