Researchers and industry laboratories often face challenges delivering controlled low-dose radiation exposures while maintaining standard biological growth conditions. This technology provides an irradiation source plate designed for high-throughput testing within a standard 96-well plate environment. The platform enables simultaneous evaluation of multiple radiation conditions while maintaining controlled temperature, humidity, and CO2 levels. By supporting well-characterized
This technology addresses the challenge of accurately measuring bacterial cell envelope thickness and anisotropy from low-dose cryogenic electron microscopy images. Traditional methods rely on manual, time-intensive measurements that lack consistency across the entire cell. The platform provides an automated, high-throughput computational approach to generate full-contour membrane thickness profiles with improved accuracy and reproducibility. This enables
Cancers driven by intracellular oncogenic targets remain difficult to treat due to therapy resistance and the challenges of effectively targeting proteins inside cells. This technology introduces a targeted approach that delivers therapeutic or imaging radioisotope payloads directly to mutant protein expressing cancer cells. By combining selective molecular recognition with localized delivery, it aims to improve
This invention offers a sustainable solution to the longstanding challenge of weak mechanical strength in hydrogels, which limits their performance in biomedical, environmental, and engineering settings. By converting fungal-derived chitinous biomass into reinforcing microparticles, the technology enables hydrogels with enhanced stability, durability, and tunability without relying on synthetic fillers or complex chemistries. This approach reduces
Plant transformation is essential for genetic engineering but typically depends on labor-intensive, multi-step manual procedures that limit consistency, throughput, and efficiency. This invention introduces an automated approach that replaces key manual operations in plant transformation with an integrated system. By combining robotic handling, sensing, and computational intelligence with a more flexible biological workflow, the technology
A novel multiplex network approach was used to identify candidate genes associated with lignin structure in switchgrass. The analysis revealed that many lignin-related traits are influenced not by the core biosynthetic pathway, but by broader regulatory networks. These insights offer a new framework for modifying lignin composition and cell wall characteristics to enhance stress tolerance
This technology addresses the need for improved antiviral agents by introducing a new class of small-molecule inhibitors that target the SARS-CoV-2 main protease through reversible, non-covalent interactions. Unlike many existing approaches, these inhibitors are designed to reduce unintended interactions with host proteins while maintaining strong activity against a highly conserved viral target. The result is
To meet the growing need for cost-effective industrial chemicals, Oak Ridge National Laboratory has developed a method to enable a cellulose-degrading microorganism to produce 2,3-butanediol (2,3-BDO), a valuable precursor for plastics, fuels, and other materials. This advancement allows direct conversion of plant biomass into 2,3-BDO, reducing reliance on fossil feedstocks and supporting biomanufacturing. Description 2,3-Butanediol
Ultra-high field MRI provides exceptional resolution but suffers from uneven magnetic field distribution, leading to image artifacts and reduced diagnostic reliability. This invention introduces a learning-based framework that dramatically accelerates and improves RF shimming, enabling more consistent image quality. By addressing one of the major technical barriers to ultra-high field MRI, the technology enhances both
We have developed thermophilic bacterial strains that can break down PET and consume ethylene glycol and TPA. This will help enable modern, petroleum-derived plastics to be converted into value-added chemicals. Contact To learn more about this technology, email [email protected] or call 865-574-1051.
This invention introduces a computational platform that integrates artificial intelligence (AI), systems biology, and network-based reasoning to model and interpret complex traits in plants. By focusing on biological mechanisms rather than individual genes, this approach enables more targeted and interpretable insights into plant performance, with potential applications in crop yield, stress resilience, and nutrient efficiency.
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms. It helps researchers and clinicians identify which genes are involved in a disease, which drugs may help, and which model organisms can be used to test them. Unlike conventional systems, it works across multiple data types
