RhizoVision Explorer
RhizoVision Explorer quantifies root morphological and architectural traits from scanned images to estimate root length, diameter, volume, and related metrics for plant and soil science.
Key Features:
- Quantitative measurements: Extracts root length, diameter, volume, angles, root depth, and convex hull metrics from images.
- Measurement Modes: Broken Roots Mode for washed roots from pots or soil cores providing length, diameter, and volume, and Whole Root Mode for complete root systems or root crowns providing angles, depth, and convex hull.
- Diameter class grouping: Groups measurements by user-defined diameter ranges to summarize metrics across size classes.
- Multiple regions of interest: Supports analysis of multiple regions of interest within a single image.
- Batch analysis: Performs batch processing to analyze large image datasets.
- Optimized image processing: Provides computationally optimized routines for rapid analysis of scanned images.
- Validation and comparison: Validated using a copper wire image set and compared against WinRhizo™ and IJ_Rhizo for accuracy, particularly in volume estimation.
Scientific Applications:
- Root trait phenotyping: Measurement of root morphological traits across crops, herbaceous plants, and trees.
- Plant–soil interaction studies: Quantification of root architecture to investigate resource acquisition and belowground ecological processes.
- Soil carbon and function research: Estimation of root-derived contributions relevant to carbon cycling and soil function analyses.
Methodology:
Validation against ground truth using a copper wire image set and comparative analyses with WinRhizo™ and IJ_Rhizo on scanned root image sets from multiple laboratories.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- desktop application
- Programming Languages:
- C++
- Added:
- 11/29/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Seethepalli A, Dhakal K, Griffiths M, Guo H, Freschet GT, York LM. RhizoVision Explorer: open-source software for root image analysis and measurement standardization. AoB PLANTS. 2021;13(6). doi:10.1093/aobpla/plab056. PMID:34804466. PMCID:PMC8598384.