San Jose, CA, United States of America

Shiaw-Min Chen

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: Innovations by Shiaw-Min Chen

Introduction

Shiaw-Min Chen is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of analytical instruments, particularly in improving sample loading methods. His innovative approach has led to the development of a patented technology that enhances the efficiency and accuracy of analytical processes.

Latest Patents

Shiaw-Min Chen holds a patent for "Methods and compositions for improving the loading of analytical instruments." This invention relates to improved methods and compositions for loading samples into an analytical instrument that has multiple sample receiving loading ports. In a principal embodiment of the invention, first and second sample markers are added to the samples to be loaded. These markers are selected to produce a distinctive signal upon combination. If a sample containing a first sample marker and a sample containing a second marker are mistakenly loaded into the same port, a detectable signal indicative of the misloading is produced. This innovation significantly enhances the reliability of analytical results.

Career Highlights

Shiaw-Min Chen is currently employed at PerkinElmer Corporation, where he continues to work on advancements in analytical technologies. His expertise in the field has made him a valuable asset to the company and the industry as a whole.

Collaborations

Throughout his career, Shiaw-Min Chen has collaborated with notable colleagues, including Cheryl R. Heiner and Adam L. Lowe. These collaborations have fostered a productive environment for innovation and development in analytical instrumentation.

Conclusion

Shiaw-Min Chen's contributions to the field of analytical instruments through his patented methods demonstrate his commitment to innovation and excellence. His work not only improves the efficiency of analytical processes but also enhances the accuracy of results in various applications.

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