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Related Experiment Video

Updated: May 21, 2025

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

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Published on: April 5, 2013

Combined Structural and Functional 3D Plant Imaging Using Structure from Motion.

Alim Yolalmaz¹, Jos de Wit¹, Jeroen Kalkman¹

¹Department of Imaging Physics, TU Delft, Lorentzweg 1, 2628 CJ Delft, The Netherlands.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This summary is machine-generated.

This study introduces non-invasive 3D plant disease imaging using automated structure from motion. The method combines 3D structural and functional fluorescence imaging in a single setup for comprehensive plant analysis.

Keywords:

3D imaging computer vision plant imaging structure from motion

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Last Updated: May 21, 2025

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Area of Science:

Plant pathology
Computer vision
Biophotonics

Background:

Accurate 3D plant imaging is crucial for disease diagnosis.
Integrating structural and functional data aids in understanding plant health.

Purpose of the Study:

To develop a non-invasive method for 3D plant disease imaging.
To combine 3D structural and functional fluorescence imaging.
To utilize automated monocular vision-based structure from motion.

Main Methods:

Optimized key point detection using small angular step size and the extra green channel.
Image upsampling to increase key point density.
Automated monocular vision-based structure from motion for 3D reconstruction.
Mapping functional fluorescence data onto the 3D structural image.

Main Results:

Successfully generated non-invasive 3D plant disease images.
Achieved combined 3D structural and functional fluorescence imaging.
Demonstrated a single-setup approach for comprehensive plant imaging.

Conclusions:

The developed method enables efficient and combined 3D structural and functional plant imaging.
This approach offers a novel tool for plant disease diagnosis and research.
Automated vision-based techniques can be effectively applied to plant phenotyping.