Shenzhen, China

Yi-Wen Liu


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Yi-Wen Liu in Fluorescence Image Registration

Introduction

Yi-Wen Liu is a notable inventor based in Shenzhen, China. He has made significant contributions to the field of biotechnology, particularly in the development of advanced imaging techniques. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of gene sequencing processes.

Latest Patents

Yi-Wen Liu's latest patents include a fluorescence image registration method and a gene sequencing instrument and system. The fluorescence image registration method involves obtaining at least one fluorescence image of a biochip. It includes selecting an interior local area and calculating sums of pixel values in that area along two directions. The method also entails selecting multiple first template lines to find a minimum total value of the sums of pixel values. Pixel-level correction is performed on a local area of the track line to obtain a pixel-level track cross. This process is repeated for other track crosses on the biochip, ensuring accurate positioning through a center-of-gravity method to achieve subpixel-level precision.

Career Highlights

Yi-Wen Liu is currently employed at MGI Tech Co., Ltd., a company known for its innovative solutions in genetic research and sequencing technologies. His work at MGI Tech has positioned him as a key player in the advancement of bioimaging techniques.

Collaborations

He collaborates with talented coworkers, including Mei Li and Yu-Xiang Li, who contribute to the innovative environment at MGI Tech. Their combined expertise fosters a culture of creativity and technological advancement.

Conclusion

Yi-Wen Liu's contributions to fluorescence image registration and gene sequencing are paving the way for future innovations in biotechnology. His patents reflect a commitment to enhancing the precision of genetic analysis, which is crucial for advancements in medical research and diagnostics.

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