Wexford, PA, United States of America

Keith S Boyce


Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 21(Granted Patents)


Company Filing History:


Years Active: 1995-2012

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4 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Keith S. Boyce

Introduction

Keith S. Boyce is a notable inventor based in Wexford, PA, who has made significant contributions to the field of experimental data collection and storage. With a total of four patents to his name, Boyce has developed methods that enhance the efficiency and management of experimental data, particularly in high-throughput environments.

Latest Patents

Among his latest patents is the "Method for Efficient Collection and Storage of Experimental Data." This innovative system allows for the efficient collection, storage, management, and display of experimental data from high-throughput cell data collection systems. The methods can be utilized for storing and managing cell image data and feature data collected from microplates and bio-chips. This flexible and scalable repository improves the identification, selection, validation, and screening of new drug compounds applied to cell populations. Another significant patent is the "Method for Spooling Experimental Data," which shares similar functionalities and benefits, further emphasizing Boyce's commitment to advancing data management in scientific research.

Career Highlights

Throughout his career, Keith S. Boyce has worked with prominent companies such as Cellomics, Inc. and Legent Corporation. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in data collection technologies.

Collaborations

Some of his notable coworkers include Brian K. McKenna and Phillip W. Glick. Their collaborative efforts have likely played a role in the development of innovative solutions in their respective fields.

Conclusion

Keith S. Boyce's contributions to the field of experimental data management are invaluable. His patents reflect a deep understanding of the challenges faced in high-throughput environments and provide effective solutions that enhance research capabilities.

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