This inventor holds 1 USPTO granted patent. Top assignee: Carnegie Mellon University. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016
Title: Cheng Chen - Innovator in Biological Structure Segmentation
Introduction
Cheng Chen is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of biological imaging through his innovative methods. His work focuses on segmenting biological structures from microscopy images, which has important implications in various scientific and medical applications.
Latest Patents
Cheng Chen holds a patent for a method titled "Segmenting biological structures from microscopy images." This method involves several key steps, including receiving an image to be segmented, accessing data representing a set of biological structures derived from training images, and computing a normalized cross-correlation of the received image against these biological structures. The process culminates in generating seed data that estimates the spatial organization of the biological structures in the image, ultimately leading to effective segmentation.
Career Highlights
Cheng Chen is affiliated with Carnegie Mellon University, where he continues to advance his research and innovation in the field of biological imaging. His work is characterized by a strong emphasis on utilizing advanced computational techniques to enhance the understanding of biological structures.
Collaborations
Cheng collaborates with esteemed colleagues such as Wei Wang and Gustavo Kunde Rohde. These partnerships foster a dynamic research environment that encourages the exchange of ideas and expertise.
Conclusion
Cheng Chen's contributions to the field of biological structure segmentation highlight his innovative spirit and dedication to advancing scientific knowledge. His work not only enhances imaging techniques but also paves the way for future research in biology and medicine.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
