In 1990 Dr. Tu joined Sony Research in Tokyo Japan, where he developed a number of computer vision algorithms for man-machine interfaces. While at Oxford University, his research was devoted to the development of computer vision methods for the autumatic analysis of seismic imagery.
Cancer cell biology is highly complex, comprising multiple cell types in different metabolic states, and is spatially heterogeneous. Over the last 10 years, our GE Research multi-disciplinary team has developed a multiplexed imaging and cell level analytics technology that allows analysis of up to 60 protein biomarkers in every cell in a 5 um FFPE tissue section (Cell DIVE™).
Predictive Maintenance technologies aim to detect, diagnose, and predict failures and degradation in machine components prior to criticality. The ultimate goal is to prevent downtime, identify root causes for follow-up action, and enable efficient evidence-based maintenance planning and optimization.