Neutraubling, Germany

I-Hsin Lin


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Location History:

  • Manchester, GB (2015)
  • Neutraubling, DE (2016 - 2017)

Company Filing History:


Years Active: 2015-2017

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3 patents (USPTO):Explore Patents

Title: I-Hsin Lin: Innovator in Analyte Detection Using Liquid Crystals

Introduction

I-Hsin Lin is a notable inventor based in Neutraubling, Germany. He has made significant contributions to the field of analyte detection, particularly through the use of liquid crystals. With a total of 3 patents to his name, Lin's work has the potential to impact various applications in scientific research and diagnostics.

Latest Patents

One of Lin's latest patents focuses on analyte detection using liquid crystals. This patent describes devices and methods that utilize changes in the defects of micrometer-sized dispersed liquid crystal domains to detect or quantify analytes in a test sample. Specifically, it includes the detection of endotoxin lipopolysaccharide (LPS). The process involves exposing the dispersed liquid crystal microdomains to the test sample, where any changes in the number of defects are monitored. These changes in the anchoring configuration of the microdomains indicate the presence of the analyte in the test sample.

Career Highlights

I-Hsin Lin is associated with the Wisconsin Alumni Research Foundation, where he continues to advance his research and innovations. His work in the field of liquid crystals has garnered attention for its potential applications in various scientific and medical fields.

Collaborations

Lin has collaborated with notable colleagues, including Nicholas Lawrence Abbott and Christopher John Murphy. Their combined expertise contributes to the advancement of research in liquid crystal technology and its applications.

Conclusion

I-Hsin Lin is a prominent inventor whose work in analyte detection using liquid crystals showcases his innovative spirit and dedication to scientific advancement. His contributions are paving the way for new methods in detecting important analytes, which could have significant implications in various fields.

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