Please login to create your UC TechAlerts.
Request a new password for
Required
Find technologies available for licensing from all ten University of California (UC) campuses.
No technologies match these criteria. Schedule UC TechAlerts to receive an email when technologies are published that match this search. Click on the Save Search link above
4-N-Derivatized Sialic Acids and Related Sialosides
Researchers at the University of California, Davis have developed advanced compounds targeting neuraminidase activity to combat viral infections and understand cellular mechanisms.
Novel Tumor-Specific Fas Epitope Targeting Antibodies
Researchers at the University of California, Davis have developed a unique approach to target solid tumors using novel Fas-targeting antibodies designed for improved selectivity and efficacy in immunotherapy.
High-Precision Chemical Quantum Sensing In Flowing Monodisperse Microdroplets
Quantum sensing is rapidly reshaping our ability to discern chemical processes with high sensitivity and spatial resolution. Many quantum sensors are based on nitrogen-vacancy (NV) centers in diamond, with nanodiamonds (NDs) providing a promising approach to chemical quantum sensing compared to single crystals for benefits in cost, deployability, and facile integration with the analyte. However, high-precision chemical quantum sensing suffers from large statistical errors from particle heterogeneity, fluorescence fluctuations related to particle orientation, and other unresolved challenges. To overcome these obstacles, UC Berkeley researchers have developed a novel microfluidic chemical quantum sensing device capable of high-precision, background-free quantum sensing at high-throughput. The microfluidic device solves problems with heterogeneity while simultaneously ensuring close interaction with the analyte. The device further yields exceptional measurement stability, which has been demonstrated over >103s measurement and across ~105 droplets. Greatly surpassing the stability seen in conventional quantum sensing experiments, these properties are also resistant to experimental variations and temperature shifts. Finally, the required ND sensor volumes are minuscule, costing only about $0.63 for an hour of analysis.
Combination Therapy For CNS Lymphoma
Brief description not available
Myeloid Differentiation Factor-Expressing Retroviral Vector for Tumor Therapy
An Efficient Deep Learning Model For Single-Cell Segmentation And Tracking In Time-Lapse Microscopy
Time-lapse microscopy allows for direct observation of cell biological processes at the single-cell level with high temporal resolution. Quantitative analysis of single-cell time-lapse microscopy requires automated segmentation and tracking of individual cells over several days. Precise segmentation and tracking remain challenging because cells change their shape, divide, and show unpredictable movements.Researchers at UC Santa Cruz applied recent advances in the application of deep-learning models to the analysis of cellular images. The result was a deep-learning-based model and a user-friendly software, termed DeepSea, that automates both the segmentation and tracking of individual cells in time-lapse microscopy images.
Novel Cytomegalovirus Vaccine
Antibody-Based Chemically Induced Dimerizers (AbCIDs)
This novel technology enables refined temporal control of protein-protein interactions that can be used to regulate cell therapies, including CAR T-cells and “cell factories”.