• Corpus ID: 238856711

High-throughput Phenotyping of Nematode Cysts

@article{Chen2021HighthroughputPO,
  title={High-throughput Phenotyping of Nematode Cysts},
  author={Long Chen and Matthias Daub and Hans-Georg Luigs and Marcus Jansen and Martin Strauch and Dorit Merhof},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.07057}
}
The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale. Here, we introduce a high-throughput system based on computer vision that allows quantifying BCN infestation and characterizing nematode cysts through phenotyping. After recording microscopic images of soil extracts in a standardized setting, an instance segmentation algorithm serves to detect nematode cysts in these samples. Going beyond fast and precise cyst counting, the image-based… 

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