3D visualization of plant-pathogen interaction inside plant leaves with dynamic contrast optical coherence tomography

Conference Paper (2024)
Author(s)

J. de Wit (TU Delft - ImPhys/Kalkman group, TU Delft - ImPhys/Computational Imaging)

Sebastian Tonn (Universiteit Utrecht)

Mon-Ray Shao (Universiteit Utrecht)

Guido van den Ackerveken (Universiteit Utrecht)

J. Kalkman (TU Delft - ImPhys/Computational Imaging, TU Delft - ImPhys/Kalkman group)

Research Group
ImPhys/Computational Imaging
DOI related publication
https://doi.org/10.1364/3D.2024.JTh2A.16
More Info
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Publication Year
2024
Language
English
Research Group
ImPhys/Computational Imaging
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
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Abstract

Optical coherence tomography (OCT) can image deep inside scattering plant tissue with micrometer resolution. However, conventional OCT lacks specificity to distinguish plant tissue from pathogen tissue. Here we show how dynamic OCT (dOCT) creates functional contrast of Bremia, a downy mildew in lettuce, based on sub-resolution dynamic activity inside the tissue. We demonstrate its applicability for disease resistance quantification and longitudinal study of pathogen growth.

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