Seoul, South Korea

Seok Chan Yoon

This inventor holds 1 USPTO granted patent. Top assignees: Institute for Basic Science, Korea University Research and Business Foundation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Seok Chan Yoon. Retrieved from https://idiyas.com/inventor/seok-chan-yoon-amutqqrk

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Seok Chan Yoon: Innovator in Imaging Technology

Introduction

Seok Chan Yoon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of imaging technology, particularly in the area of correcting and reconstructing images in scattering media.

Latest Patents

Yoon holds a patent for an "Imaging device for correcting and reconstructing target image in scattering medium using multiple scattering tracing algorithm based on reflection matrix and method thereof." This invention discloses an innovative imaging device that corrects and reconstructs images of target objects located deep within scattering media, such as biological tissues. The device utilizes a multiple scattering tracing algorithm based on a reflection matrix, which is obtained from an imaging device that employs a time-resolved light source.

Career Highlights

Throughout his career, Seok Chan Yoon has worked with esteemed institutions, including the Korea University Research and Business Foundation and the Institute for Basic Science. His work has focused on advancing imaging technologies that have practical applications in various scientific fields.

Collaborations

Yoon has collaborated with notable colleagues, including Won Shik Choi and Sung Sam Kang. These partnerships have contributed to the development of innovative solutions in imaging technology.

Conclusion

Seok Chan Yoon is a distinguished inventor whose work in imaging technology has the potential to revolutionize how we visualize and understand complex biological structures. His contributions continue to impact the field significantly.

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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