Papers
2
Total Citations
9
H-Index
2
About
Mika Sugiura has made foundational contributions to the automation of clinical diagnostics, with a focus on high-precision molecular analysis. Her research centers on developing robotic systems for SNP typing and tumor marker detection, bridging the gap between manual laboratory techniques and fully automated, high-throughput workflows. Sugiura pioneered an automated SNP analysis method using a paramagnetic beads handling robot, a system designed to enhance reliability and throughput in genetic typing—work that has garnered 6 citations for its practical impact on biological and medical research. She also advanced the automation of the lectin-antibody enzyme immunoassay for the alphafetoprotein-L3 carbohydrate chain, a critical tumor marker for liver cancer. By improving the assay’s technique for use with an enzyme immunoassay robot, she enabled simultaneous detection of AFP-L3 and total AFP using two lectins, a notable achievement cited 3 times. Sugiura’s work exemplifies the integration of robotics and biochemistry, offering scalable solutions for clinical laboratories. Her contributions remain relevant for researchers seeking to automate complex immunoassays and genetic analyses, underscoring her role in advancing precision medicine through engineering and molecular biology.
Research Focus
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Top Papers
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