A novel non-destructive imaging method for determining ploidy levels in young wheat leaves using AI-accelerated analysis. This approach offers rapid, scalable screening without destructive sampling, enhancing early-stage plant breeding.
This innovative solution introduces a non-destructive imaging approach for detecting ploidy levels in young wheat leaves. Utilizing AI-accelerated analysis, this method processes cellular signals from the leaf surface, inspired by medical imaging techniques. It offers a rapid, scalable alternative to traditional ploidy determination methods, which often require destructive sampling and complex laboratory procedures. This technology is particularly beneficial for early-stage plant breeding programs, allowing for efficient screening while maintaining plant viability.
Currently at Technology Readiness Level 4, this method has been validated under laboratory conditions. Future plans include expanding to scalable high-throughput screening, ensuring robust application in breeding programs.
Monash University is a comprehensive public research university and one of Australia’s largest, known for scale, interdisciplinarity, and an applied orientation. Its Melbourne-based technology precinct brings together university laboratories, pilot-scale and prototyping suites, and company R&D groups alongside government research organizations to enable co-development and rapid iteration. Integration with a major hospital network supports clinical trials and translation, while structured industry placements and doctoral partnerships create a robust talent pipeline for corporate R&D. Research is backed by competitive funding from the Australian Research Council, the National Health and Medical Research Council, and state and federal programs that incentivize industry collaboration. A dedicated technology transfer office manages IP, licensing, and startup formation, with pathways to incubation and investment within the precinct.