Plant Root and Nodule Phenotype Analysis System
Automated root nodule and architecture analysis for leguminous crops.
Batch process 100+ images, export to Excel, and sync results to cloud. Request a quote.
Louise Corscadden, PhD
Director of Science · ConductScience
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Key Specifications
Full details →- Analysis Modules
- Overall root analysis, root nodule analysis, connection segment analysis, topology analysis, root segmentation and grading, target area analysis, personalized display
- Root Parameters Measured
- Total root length, total number of root tips, total overlap quantity, number of lateral root bifurcations, mean root system diameter, volume, projection area, surface area
- Batch Processing Capacity
- Single batch analysis of over 100 images
- Nodule Parameters Measured
- Nodule number, nodule diameter, nodule R/G/B color values, color grading, nodule area, nodule volume, nodule surface area contribution
- Nodule Correction
- Nodules marked and sized automatically; add unidentified nodules or delete misidentified ones by hand
- Measurement Error
- Root length, surface area, projection area and volume: less than 4%; root tips and nodule count: less than 5%; average diameter: less than 0.04%; nodule identification: RSD less than 5%
The Plant Root and Nodule Phenotype Analysis System is a dedicated imaging and analysis platform designed for comprehensive study of root systems in leguminous crops. It captures and quantifies a full range of root and nodule parameters—including nodule number, nodule diameter, nodule color (R/G/B values), color grading, root architecture topology, connection segment geometry, and root segmentation—giving researchers a rigorous, reproducible picture of below-ground phenotype.
Root samples are imaged with the included scanner, which has a 215.9 × 355.6 mm scanning range. At the core of the system is a software suite that runs automated batch analysis across large image sets, processing over 100 images in a single run. Outlier detection uses configurable pixel-value thresholds to isolate and highlight target root structures, reducing manual intervention and improving consistency across experiments. Analysis can be paused and resumed at any time, with progress saved automatically so large studies are never at risk of data loss.
Data management is built for modern collaborative research. Results, annotated images, and distribution maps export to Excel in one click, and real-time analysis data syncs to an integrated cloud platform for multi-device access and permanent multi-platform backup. The companion research app allows field and greenhouse teams to view and export results remotely. Software security is maintained through dynamic QR code and dongle-based encryption tied to registered user credentials.
Because root phenotyping studies vary widely in crop species, imaging setup, and analytical scope, this system is configured to match your specific protocol. Contact our team to request a quote and discuss the configuration that best fits your research workflow.
Analysis Modules
- Overall root analysis, root nodule analysis, connection segment analysis, topology analysis, root segmentation and grading, target area analysis, personalized display
Root Parameters Measured
- Total root length, total number of root tips, total overlap quantity, number of lateral root bifurcations, mean root system diameter, volume, projection area, surface area
Batch Processing Capacity
- Single batch analysis of over 100 images
Nodule Parameters Measured
- Nodule number, nodule diameter, nodule R/G/B color values, color grading, nodule area, nodule volume, nodule surface area contribution
Nodule Correction
- Nodules marked and sized automatically; add unidentified nodules or delete misidentified ones by hand
Measurement Error
- Root length, surface area, projection area and volume: less than 4%; root tips and nodule count: less than 5%; average diameter: less than 0.04%; nodule identification: RSD less than 5%
Outlier Removal
- Automatic removal by configurable pixel-value threshold; target root system contour highlighting
Data Save & Resume
- Automatic saving of analysis progress; pause and resume at any time
Data Export
- One-click export of analysis images, distribution maps, and result data to Excel; upload to designated folder or cloud platform
Cloud & App Integration
- Real-time sync to cloud platform; multi-platform backup with permanent storage; companion research app for remote viewing and export
Software Security
- Dynamic QR code and dongle encryption registered to user institution
Scanner Size
- 576 × 297 × 118 mm
Scanning Range
- 215.9 × 355.6 mm
What root and nodule parameters does the system measure?
The system measures nodule number, nodule diameter, and nodule R/G/B color values, and performs color grading of nodules. It also supports broader root architecture analysis including topology, connection segment analysis, root segmentation and grading, and target area analysis, giving a comprehensive phenotypic profile of the root system.
How many images can be processed in a single analysis run?
The system supports batch analysis of over 100 images in a single run, with automatic analysis of plant nodules, roots, and associated parameters. Analyzed images and result data are saved automatically, and you can pause or resume a batch at any time without losing progress.
How is data exported and shared across a research team?
Analysis images, distribution maps, and result data can all be exported to an Excel spreadsheet with one click. Data also syncs in real time to an integrated cloud platform, enabling multi-device access and permanent backup. The companion research app allows team members to view and export results from any location.
What crop or plant types is the system designed for?
The system is purpose-built for root phenotyping in leguminous crops, with specialized nodule analysis tools. The broader root analysis modules—topology, segmentation, and target area analysis—support a range of root system research applications within this focus.
How does the system protect research data and software access?
The software uses a dual-layer security approach combining dynamic QR code verification with dongle-based encryption. Both are registered to the specific user or institution, preventing unauthorized use and protecting against credential loss.
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