Singapore, Singapore

Lixin Duan

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Lixin Duan: Innovator in Optical Coherence Tomography

Introduction

Lixin Duan is a prominent inventor based in Singapore, known for his contributions to the field of optical coherence tomography (OCT). His innovative work focuses on reducing speckle noise in OCT images, which is crucial for enhancing image quality in medical imaging applications.

Latest Patents

Lixin Duan holds a patent for a method and system aimed at obtaining a reduced speckle noise image from OCT image data. The patent describes a process that involves aligning cross-sectional images and image patches to form a set of aligned patches. An image matrix is then created from these aligned patches, and matrix completion is applied to achieve a clearer image with reduced speckle noise. This advancement has significant implications for improving the accuracy of OCT imaging in clinical settings. His patent is a testament to his innovative approach in this specialized field, with 1 patent to his name.

Career Highlights

Throughout his career, Lixin Duan has worked with notable organizations, including the Agency for Science, Technology and Research and Topcon Corporation. His experience in these institutions has allowed him to develop and refine his expertise in optical technologies and imaging systems.

Collaborations

Lixin has collaborated with esteemed colleagues such as Jun Cheng and Jiang Liu, contributing to advancements in their shared field of research. Their collective efforts have furthered the understanding and application of optical coherence tomography.

Conclusion

Lixin Duan's innovative work in reducing speckle noise in optical coherence tomography images highlights his significant contributions to medical imaging technology. His patent and collaborations reflect his dedication to advancing this important field.

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