Hong Kong, China

Wah Cheuk

This inventor holds 3 USPTO granted patents. Top assignee: City University of Hong Kong. Active years: 2022-2026.


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2022-2026

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3 patents (USPTO):Explore Patents

Title: Wah Cheuk: Innovator in Immunocytochemistry Image Processing

Introduction

Wah Cheuk is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of immunocytochemistry image processing, holding a total of 3 patents. His work focuses on enhancing machine learning applications in image analysis, particularly in the biomedical sector.

Latest Patents

Wah Cheuk's latest patents include innovative systems and methods for preprocessing immunocytochemistry images for machine learning image-to-image translation. This method involves receiving paired positive and negative multi-protein images and segmenting the stains of these images. The process includes labeling each image pixel corresponding to a cell and translating this pixel information into a tabular format. This generates a table of cell coordinates and geometrical characteristics for each paired multi-protein image. Additionally, he has developed a system and method for generating a stained image, which involves processing a key sample section image with a multi-modal stain learning engine to produce a stained representation.

Career Highlights

Wah Cheuk is affiliated with the City University of Hong Kong, where he continues to advance his research and development in image processing technologies. His work has been instrumental in bridging the gap between machine learning and biomedical imaging.

Collaborations

Wah Cheuk collaborates with notable colleagues, including Condon Lau and Yixuan Yuan, to further enhance the impact of his research in the field.

Conclusion

Wah Cheuk's innovative contributions to immunocytochemistry image processing demonstrate his commitment to advancing technology in the biomedical field. His patents reflect a deep understanding of both machine learning and image analysis, positioning him as a key figure in this area of research.

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