Company Filing History:
Years Active: 2005-2007
Title: Ge Cong: Innovator in Cell Image Analysis
Introduction
Ge Cong is a notable inventor based in El Cerrito, CA (US), recognized for his contributions to the field of cell image analysis. With a total of 3 patents, his work focuses on extracting biologically significant features from cell images, which has significant implications for biological research and medical applications.
Latest Patents
One of Ge Cong's latest patents involves methods and apparatus for extracting shape information contained in cell images. This invention provides techniques for analyzing images of cells and extracting shape-related features that can be correlated with conditions induced by biologically-active agents. The methods include segmentation of cells using a combination of reference component image data and cell shape-indicative marker image data through a watershed technique. Additionally, the invention offers a skeletonization and skeleton analysis technique for extracting biologically relevant features from cell shapes.
Another significant patent focuses on the image analysis of the Golgi complex. This method analyzes cell images to automatically identify and characterize the Golgi complex within individual cells. By locating the cells and defining their boundaries, the system can analyze the intensity values corresponding to the concentration of Golgi components. This mathematical characterization provides phenotypic information about the cells' Golgi complex, which can be used for further classification and understanding of cellular mechanisms.
Career Highlights
Ge Cong is currently associated with Cytokinetics, Inc., where he applies his expertise in cell image analysis. His innovative approaches have contributed to advancements in understanding cellular structures and functions.
Collaborations
Ge Cong has collaborated with notable coworkers such as Eugeni Vaisberg and Hsien-Hsun Wu, enhancing the research and development efforts within his field.
Conclusion
Ge Cong's work in cell image analysis exemplifies the intersection of innovation and biological research. His patents not only advance scientific understanding but also pave the way for future developments in medical applications.