Yun-Ching Chang

Title: Innovations of Yun-Ching Chang

Introduction

Yun-Ching Chang is a prominent inventor based in San Jose, CA, known for his contributions to the field of machine learning and biological imaging. With a total of 8 patents, he has made significant strides in developing advanced methodologies for analyzing biological samples.

Latest Patents

One of his latest patents focuses on "Cell body segmentation using machine learning." This innovative system and method perform deep cell body segmentation on biological samples by processing stained images through a trained machine learning model. The method involves receiving a first and second stained image, determining seed points based on the locations of cell nuclei, and utilizing watershed segmentation to identify cell membranes. The output image is then analyzed for gene sequencing. Another notable patent is related to "Methods, mediums, and systems for identifying a gene in a fluorescence in-situ hybridization experiment." This patent describes the use of a convolutional neural network (CNN) to process multiplexed image data from FISH experiments, enabling the localization and identification of hybridization spots even in challenging scenarios.

Career Highlights

Yun-Ching Chang is currently employed at Applied Materials, Inc., where he continues to push the boundaries of innovation in his field. His work has garnered attention for its practical applications in biological research and diagnostics.

Collaborations

Throughout his career, Yun-Ching has collaborated with talented individuals such as Dan Xie and Chloe Kim, contributing to a dynamic and innovative work environment.

Conclusion

Yun-Ching Chang's contributions to machine learning and biological imaging exemplify the impact of innovation in scientific research. His patents not only advance technology but also enhance our understanding of biological processes.