Advanced 3D multiscale plant modeling framework from subcellular to whole organ scales

Overview

This solution is an entirely new GPU-accelerated 3D modeling framework designed to simulate plant development at unprecedented scales, from the subcellular level to whole organs. It addresses critical bottlenecks in current computational plant biology—speed, fidelity, and precision—by combining advanced computer graphics, GPU instancing, and multi-omics data integration. The platform enables real-time simulation of millions of individual cells in collective populations, capturing dynamic growth, pattern formation, and intercellular communication. Its modular architecture supports diverse plant species and can be extended to model plant-microbe interactions, making it a universal framework for digital twin plant systems with direct applications in crop improvement and agricultural biotechnology.

Technical specifications

Core capabilities:

• Real-time 3D+time simulation of millions of individual plant cells with maintained subcellular resolution
• GPU instancing combined with advanced computer graphics for accelerated large-scale computation
• Integration of single-cell RNA-seq transcriptomics, proteomics, metabolomics, and live cell imaging data
• Modular design enabling easy incorporation of new datasets and regulatory modules
• Dynamic parameter derivation from microscopy analyses of organ growth (e.g., lateral roots, leaves, flowers, stems)
• Capability to model intercellular communication and growth conflicts in complex cell populations
• Extensibility to plant-microbe interactions by combining microbiome composition with organ development models
• Universal framework applicable across plant species, including crops

Technology readiness level

The framework is currently in active development, building on the research group's established expertise as world-leaders in multiscale computational plant modeling. Existing experimental setups for investigating growth coordination in large cell collectives and quantitative experimental data integration provide a validated foundation. The platform is being constructed to resolve modeling challenges in real-time simulations of millions of cells, with ongoing integration of multiscale experimental data. It represents an early-to-mid stage technology readiness, with strong potential for advancement through collaborative partnerships aimed at crop applications and digital twin system development.