Bacterial detection and identification from human synovial fluids on an integrated microfluidic system

Ting-Hang Liu1, Shu-Shen Cheng, Huey-Ling You

  • 1Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan. gwobin@pme.nthu.edu.tw.

The Analyst
|December 7, 2018
PubMed
Summary

A novel microfluidic system rapidly detects and identifies bacteria in human synovial fluid, enabling faster diagnosis of periprosthetic joint infections (PJIs). This integrated chip automates sample processing and nucleic acid amplification for quicker, more informed clinical decisions.

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