Rapid and Robust Monitoring of Phytophthora Infectivity Through Detached Leaf Assays with Automated Image Analysis.

Abstract

The detached leaf assay is a valuable method for studying plant-pathogen interactions, enabling the assessment of pathogenicity, plant resistance, and treatment effects. In this protocol, we outline how to set up a Phytophthora detached leaf assay and use non-expert machine learning tools to increase the reliability and throughput of the image analysis. Utilizing ilastik for pixel classification and Python scripts for segmentation, manual correction, and temporal linking, the pipeline provides objective and quantitative data over time. The protocol covers assay setup and image segmentation and outlines key considerations, providing a comprehensive guide for setting up and analyzing detached leaf assays. The very minimal material requirements and user-friendly software make this protocol accessible for all Phytophthora researchers.

Plant phenotyping relevance

Phytophthora感染葉の病徴を自動画像解析で定量化する実験・解析パイプラインが主題であり、植物病害状態の表現型取得法として中心的である。

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