Foster City, CA, United States of America

Naveen Ramalingam

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Naveen Ramalingam

Introduction

Naveen Ramalingam is an accomplished inventor based in Foster City, CA (US). He has made significant contributions to the field of biotechnology, particularly in the area of sample processing and library preparation. With a total of 2 patents, his work has advanced the methodologies used in various scientific applications.

Latest Patents

Naveen's latest patents focus on parallelized sample processing and library preparation. These patents describe methods, kits, and systems for sample enrichment, multi-step library preparation, sample normalization, and detection of sample biomolecules. The enrichment and multi-step library preparation are detailed in the context of microfluidic workflows. Additionally, his patents include sample barcoding methods and kits designed to increase sample throughput while reducing background in negative samples. Integrated microfluidic devices comprising sample processing unit cells coupled to an array of reaction sites are also provided for integrated workflows.

Career Highlights

Naveen Ramalingam is currently employed at Standard Biotools Corporation, where he continues to innovate and develop new technologies. His work has been instrumental in enhancing the efficiency and effectiveness of sample processing techniques in the biotechnology sector.

Collaborations

Some of Naveen's notable coworkers include Michael L Phelan and Christopher J Kubu. Their collaborative efforts contribute to the advancement of research and development in their field.

Conclusion

Naveen Ramalingam's contributions to biotechnology through his patents and work at Standard Biotools Corporation highlight his role as a key innovator in sample processing and library preparation. His advancements are paving the way for more efficient scientific research and applications.

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