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RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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RhizoVision Explorer: open-source software for root image analysis and measurement standardization
Anand Seethepalli1, Kundan Dhakal1, Marcus Griffiths1
1Noble Research Institute, LLC, Ardmore, OK 73401, USA.
Aob PLANTS
|November 22, 2021
Summary
RhizoVision Explorer, an open-source software, offers accurate root trait measurements for ecosystem research. It provides reliable length, diameter, and volume data, outperforming existing software in volume accuracy.
Area of Science:
- Plant and Soil Science
- Ecosystem Function
- Agricultural Research
Background:
- Root characteristics are crucial for understanding plant resource acquisition and ecosystem carbon cycling.
- Accurate measurement of root traits like length, diameter, and volume is essential for plant and soil function studies.
Purpose of the Study:
- Introduce RhizoVision Explorer, an open-source software for efficient and reliable root trait analysis.
- Compare the performance of RhizoVision Explorer against existing software (WinRhizo™, IJ_Rhizo) for root trait measurements.
Main Methods:
- Developed RhizoVision Explorer with default (broken roots) and optional (whole root) modes for diverse root sampling.
- Validated software using copper wire image sets, simulated root images, and real-world scanned root images from various species and labs.
- Compared measurements including length, diameter, volume, angles, root depth, and convex hull with other software.
Main Results:
- RhizoVision Explorer demonstrated accurate measurements, validated against ground truth data.
- Commercial WinRhizo™ significantly underestimated root volume, especially with varying wire diameters in the same image.
- General agreement in most measurements between RhizoVision Explorer, WinRhizo™, and IJ_Rhizo, with notable discrepancies in root volume.
Conclusions:
- RhizoVision Explorer offers improved accuracy and replicability for root trait measurements.
- The software aims to become a reference tool in root science, fostering collaboration and data accessibility.
- Addresses limitations in current software, particularly in accurate root volume estimation.

