Root Imaging and Soil Sensing Technologies
Root Imaging and Soil Sensing Technologies
Understanding how roots function in natural soils requires technologies capable of visualising biological processes across multiple spatial and temporal scales. Traditional laboratory approaches often rely on transparent growth systems that fail to capture the complexity of real soil environments. At RhizoSensing, we develop and apply advanced imaging and sensing technologies to investigate root growth, signalling and adaptation directly within soil.
Our research integrates molecular biology, imaging, computational analysis and soil physics to uncover how roots perceive and respond to heterogeneous soil environments.
Research Objectives
- Visualise root growth and development in natural and engineered soils.
- Monitor molecular and cellular signalling processes within roots growing in soil.
- Quantify dynamic interactions between roots and soil structure.
- Develop new tools for non-invasive monitoring of root responses to environmental stress.
- Link cellular signalling events to whole-root and whole-plant behaviour.
Key Technologies
X-ray Computed Tomography (X-ray CT)
X-ray CT enables non-destructive three-dimensional imaging of roots growing in soil. This technology allows us to reconstruct root system architecture while simultaneously quantifying soil physical properties such as pore networks, aggregation and compaction.
Applications include:
- Root architecture phenotyping
- Soil compaction analysis
- Root penetration and exploration dynamics
- Root–soil contact measurements
- Time-resolved root growth studies
Vertical Confocal Imaging
We employ vertical-stage confocal microscopy to visualise cellular and molecular processes in living roots under controlled environmental conditions.
Applications include:
- Hormone signalling dynamics
- Cell wall remodelling
- Root mechanosensing
- Live-cell imaging of root development
- Fluorescent biosensor analysis
Soil-Based Molecular Imaging
A major goal of the RhizoSensing laboratory is to bridge the gap between laboratory imaging systems and real soil environments.
We are developing approaches that enable visualisation of:
- Hormone signalling in roots growing in soil
- Cellular responses to soil compaction
- Root responses to heterogeneous soil environments
- Stress-responsive signalling pathways
- Spatial regulation of root adaptation mechanisms
Biosensors and Reporter Technologies
We utilise advanced fluorescent biosensors and reporter systems to monitor signalling pathways in vivo.
These approaches allow quantitative measurements of:
- Ethylene responses
- Auxin distribution
- Jasmonate signalling
- Cellular stress responses
- Gene expression dynamics
Computational Image Analysis
Large imaging datasets are integrated with computational pipelines to generate quantitative descriptions of root growth and soil interactions.
This includes:
- 3D root reconstruction
- Root architecture analysis
- Spatial transcriptomic integration
- Machine learning-based image analysis
- Soil structural quantification
Future Directions
The long-term vision of this project is to develop a comprehensive platform for visualising root biology directly within complex soil environments. By combining advanced imaging technologies with molecular genetics, biosensors and computational modelling, we aim to reveal how roots perceive, integrate and respond to physical and chemical signals in soil.
These technologies will provide new opportunities for understanding crop adaptation to soil compaction, drought and nutrient limitation, ultimately supporting the development of more resilient agricultural systems.