New York, NY, United States of America

James Knapp

This inventor holds 1 USPTO granted patent. Top assignee: Neuromedical Systems, Inc.. Active years: 1994.

IDiyas Innovation Intelligence. (2026). Inventor Profile: James Knapp. Retrieved from https://idiyas.com/inventor/james-knapp-asvdp8hy

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


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 198(Granted Patents)


Company Filing History:


Years Active: 1994

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1 patent (USPTO):Explore Patents

Title: James Knapp - Innovator in Automated Cytological Classification

Introduction

James Knapp is a notable inventor based in New York, NY (US). He has made significant contributions to the field of automated cytological specimen classification. His innovative work has led to the development of a unique system that enhances the efficiency and accuracy of cytological analysis.

Latest Patents

James Knapp holds a patent for an "Automated Cytological Specimen Classification System and Method." This invention utilizes a neural network to perform the classification function, making the screening process more efficient. The system also includes an automated microscope and associated image processing circuitry, which further streamlines the classification of cytological specimens.

Career Highlights

Knapp is currently associated with Neuromedical Systems, Inc., where he continues to work on advancements in medical technology. His expertise in neural networks and automated systems has positioned him as a key player in the field of medical diagnostics.

Collaborations

Throughout his career, James has collaborated with notable colleagues, including Robert Domes and Richard Chaban. These partnerships have contributed to the development of innovative solutions in the medical technology sector.

Conclusion

James Knapp's contributions to automated cytological classification demonstrate his commitment to advancing medical technology. His work not only enhances diagnostic processes but also showcases the potential of neural networks in healthcare applications.

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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