Shinjuku-ku, Japan

Masatoshi Wakui


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: Masatoshi Wakui: Innovator in Mass-Analysis Data Processing

Introduction

Masatoshi Wakui is a distinguished inventor based in Shinjuku-ku, Japan. He has made significant contributions to the field of mass-analysis data processing, particularly in the context of biological tissue analysis. His innovative approach combines optical microscopy with advanced data processing techniques.

Latest Patents

Wakui holds a patent for a "Mass-analysis data processing method and system." This patent describes a technique that utilizes an optical microscope image of a sample area to gather area-specific information that characterizes various types of biological tissue. The method involves examining differences in tissue types within a two-dimensional target area and specifying areas that are regarded as the same kind of tissue. The data processing begins with the extraction of peak information from mass spectrum data at all measurement points. A peak method is then applied to extract peak information for each specified area. When a command to compare areas is issued, the peak information is collected and analyzed using machine learning algorithms, resulting in area-specific peak information that is stored in memory.

Career Highlights

Wakui's career is marked by his dedication to advancing the field of mass spectrometry and biological analysis. His work has implications for various applications in medical research and diagnostics. He is affiliated with Keio University, where he continues to contribute to research and innovation.

Collaborations

Wakui collaborates with notable colleagues, including Masaaki Matsuura and Masaru Ushijima. Their combined expertise enhances the research and development efforts in their respective fields.

Conclusion

Masatoshi Wakui's innovative contributions to mass-analysis data processing exemplify the intersection of technology and biology. His work not only advances scientific understanding but also paves the way for future innovations in medical diagnostics.

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