Disease Lesion Quantification
Overview
Disease lesion quantification provides objective, repeatable metrics of pathogen impact—lesion area, lesion count, lesion growth rate—which are essential for resistance screening, disease progression studies, and integration with genetic analyses.
1. Screening breeding populations for foliar disease resistance
2. Time-course studies of infection and lesion expansion
3. Evaluating efficacy of chemical or biological control agents
4. Correlating lesion phenotypes with pathogen load or molecular markers
5. Integrating lesion metrics into GWAS/QTL pipelines
Recommended Solutions
High-Throughput Phenotyping System
- Automated detection and quantification of disease lesions by color, shape, and area
- Time-series imaging to monitor lesion expansion and disease progression
- Standardized scoring of large genotype populations for resistance screening
Gantry-Based Phenotyping Platform
- Large-scale, non-contact imaging of disease symptoms at canopy or plot scale
- Multi-angle or time-series assessment capturing spatial infection variability
- Consistent temporal data supporting genotype × pathogen interaction analysis
Why Our System Fits This Application
We combine standardized imaging geometry, calibrated illumination, and robust segmentation pipelines to deliver reproducible lesion metrics across timepoints and experiments. Automated batch processing supports large population screening while hyperspectral options enable earlier detection of infection-related biochemical changes.