Santa Clara, CA, United States of America

Debjit Ray

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Applied Materials, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Debjit Ray. Retrieved from https://idiyas.com/inventor/debjit-ray

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Debjit Ray - Innovator in Machine Learning for Biological Applications

Introduction

Debjit Ray is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of biological sample analysis. His innovative approach has led to the development of a patented technology that enhances the understanding of cellular structures.

Latest Patents

Debjit Ray holds a patent for a system and method titled "Cell body segmentation using machine learning." This invention provides a method for performing deep cell body segmentation on biological samples. The process involves receiving a first and a second stained image, where the first image is processed using a trained machine learning model. This model outputs the locations of a plurality of cell nuclei in the first stained image. Seed points are then determined based on these locations, and the second image is processed using these seed points to identify a plurality of cell membranes through watershed segmentation. The second image undergoes post-processing, resulting in an output image that is analyzed for gene sequencing. This innovative method has the potential to advance research in cellular biology.

Career Highlights

Debjit Ray is currently employed at Applied Materials, Inc., where he continues to push the boundaries of technology in his field. His work focuses on integrating machine learning techniques with biological research, showcasing his commitment to innovation and excellence.

Collaborations

Debjit collaborates with talented individuals such as Yun-Ching Chang and Arina Nikitina, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Debjit Ray's contributions to machine learning and biological analysis exemplify the impact of innovative thinking in science and technology. His patented methods are paving the way for advancements in cellular research, highlighting the importance of integrating technology with biological studies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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