Dublin, CA, United States of America

XiaoMing Wang

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2017-2024

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6 patents (USPTO):Explore Patents

Title: Innovations by Inventor XiaoMing Wang

Introduction

XiaoMing Wang is a prominent inventor based in Dublin, California. He has made significant contributions to the field of biological fluid analysis through his innovative patents. With a total of six patents to his name, Wang's work focuses on advanced techniques for identifying candidate cells using image analysis.

Latest Patents

Wang's latest patents include groundbreaking methods for identifying candidate target cells within biological fluid specimens. One of his notable inventions is a method that utilizes digital images with multiple color channels to identify connected regions of pixels based on intensity levels. This method determines whether regions overlap by a specified threshold, allowing for more accurate classification of candidate cells. Another patent describes techniques for enumerating candidate target cells by analyzing connected regions of pixels that meet specific size and aspect ratio criteria. These innovations enhance the precision of cell identification in biological research.

Career Highlights

XiaoMing Wang is currently employed at Cellmax, Ltd., where he continues to develop and refine his innovative techniques. His work has significantly impacted the field of cell analysis, providing researchers with powerful tools for understanding biological specimens.

Collaborations

Wang collaborates with esteemed colleagues, including Huangpin Ben Hsieh and Jr-Ming Lai, to further advance the research and application of his patented technologies.

Conclusion

XiaoMing Wang's contributions to the field of biological fluid analysis through his innovative patents demonstrate his commitment to advancing scientific research. His work continues to influence the way researchers identify and classify cells, paving the way for future innovations in the field.

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