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Revealing real-time 3D in vivo pathogen dynamics in plants by label-free optical coherence tomography

Biology

Revealing real-time 3D in vivo pathogen dynamics in plants by label-free optical coherence tomography

J. D. Wit, S. Tonn, et al.

This groundbreaking research by Jos de Wit and colleagues introduces a real-time method for visualizing pathogen dynamics in plants using label-free optical coherence tomography (OCT). By quantifying hyphal volume and length in lettuce downy mildew infection, this technique paves the way for innovative digital phenotyping and insights into pathogen vitality.

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Playback language: English
Abstract
This paper presents a novel method for real-time 3D in vivo visualization of pathogen dynamics in plants using label-free optical coherence tomography (OCT). The technique leverages intrinsic signal fluctuations as tissue contrast to image filamentous pathogens and nematodes without the need for invasive histological techniques or transgenic pathogens. The authors analyze 3D images of lettuce downy mildew infection to quantify hyphal volume and length, demonstrating the potential for digital phenotyping and studying pathogen vitality.
Publisher
Nature Communications
Published On
Sep 27, 2024
Authors
Jos de Wit, Sebastian Tonn, Mon-Ray Shao, Guido Van den Ackerveken, Jeroen Kalkman
Tags
optical coherence tomography
pathogen dynamics
3D visualization
digital phenotyping
plant pathology
lettuce downy mildew

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